Software Engineer

🏢 Summary: Senior Frontend React Developer role focused on building enterprise-grade AI-native Next.js applications with complex state, real-time AI interactions, and scalable frontend architecture. The position involves owning frontend systems end-to-end, including UI design, performance optimization, accessibility, and production reliability. Engineers work closely with AI-driven products and modern tooling in a high-ownership environment. 🗂️ Requirements: 5+ years frontend engineering experience, 3+ years React experience, Modern TypeScript expertise, Production Next.js SSR experience, Knowledge of SSR, SSG, and CSR trade-offs, Complex state management experience, Experience building AI/LLM interfaces, Performance optimization and Core Web Vitals knowledge, Enterprise application development experience, Accessibility and localization knowledge, Security-conscious engineering approach, Daily use of AI coding agents, Clear technical communication skills 📃 Skills: React, TypeScript, Next.js, SSR, SSG, CSR, JavaScript, LLM, AI, CoreWebVitals, Accessibility, Localization, Security, ReactFlow, Highcharts, Node.js, Python, RAG, Codex, Claude, Copilot, GitHub 🏢 Description: About Shelf The enterprise is going agentic and we are creating a unique operating system for an automated future. Most AI agents break the moment they hit real business complexity. That’s why we built a platform that models a company's policies, workflows, and operational logic into an AI Data Model. Shelf enables AI Agents to reliably reason and deliver precise and reliable outcomes at scale. We already have what most AI startups are still trying to earn: Enterprise customers such as Glovo, Nespresso, and HelloFresh, real production data, and tens of thousands of users. Customers trust us with operational knowledge: Our platform is highly reliable and secure with SOC2, HIPAA-ready security practices, and mature integrations in place. Location – Warsaw, work from the office. Senior Frontend React Developer: This role is for a senior frontend engineer who can design and own business-critical user experiences for agentic AI products. We want someone who is strong technically, has strong UI judgment, communicates clearly, and has the taste to make complex product experiences simpler, faster, more trustworthy, and easier to evolve over time. Expect real ownership from frontend architecture through production quality. You will build production Next.js applications with complex state, real-time AI interactions, and multiple layers of enterprise functionality. The team is small enough for engineers to make real decisions. Career growth comes from ownership. Titles matter less than the scope you can carry. The people who grow fastest take responsibility for larger product surfaces, drive customer outcomes, and strive to develop better engineering practices. You solve ambiguous frontend problems by understanding the user need, shaping the right interaction model, then shipping, iterating, and keeping the experience healthy in production. We build AI-native. Engineers use Codex, Claude Code, and agents they build themselves. We invest in harness engineering through skills, CLIs, logs, traces, and orchestration. This is a role for someone in a high-growth chapter of their career, who wants to do the best work of their life, learn fast, and win as part of a team going all-in on a hard mission. What You Will Own Design and ship production Next.js SSR applications with complex state, high-load scenarios, and real-time AI interactions at scale Build interfaces for AI-powered features: streaming LLM responses, semantic search across millions of documents, interactive knowledge graphs, and agentic builders Architect component libraries and maintain the design system, ensuring reusability, accessibility, and consistent UX across the platform Deliver enterprise-grade functionality: localization, accessibility compliance, cross-browser support, and security Take full ownership after launch: monitor performance in production, optimize bundle sizes, instrument for Core Web Vitals, and ensure things scale gracefully Keep the bar high on code quality, testing, and craft through thoughtful code review and mentorship What Strong Performance Looks Like You turn vague product problems into shipped, well-reasoned interfaces that users trust Complex AI behavior feels legible and controllable to users because of how you built the UI Your components are reusable, accessible, and fast under real enterprise load You bring momentum. Work moves because you are on it What We Are Looking For Over 5 years of frontend engineering experience, including 3+ years specializing in React and modern TypeScript Production Next.js experience: SSR applications at scale, app router, server components, and the trade-offs between SSR, SSG, and CSR Complex state management for hard scenarios: real-time collaboration, optimistic updates, multi-tenant isolation, large-scale data sync Experience building AI/LLM interfaces: streaming token responses, chat UIs, semantic search, or similar real-time AI interactions High-load performance work: you monitor Core Web Vitals and know how to improve them under heavy traffic and large datasets Enterprise application depth: localization, accessibility, security, and compliance, you understand the complexity beyond "making it work" A security-conscious approach to engineering: you handle sensitive data carefully and think about the security implications of what you ship Strong craft and product instinct: you don't wait for perfect designs, you spot UX issues and propose solutions, and you're never satisfied with "good enough" AI-native working style. You already use AI coding agents daily and are eager to push the boundaries of harness engineering Clear communication. You articulate design decisions and technical trade-offs clearly, verbally and in writing Strong Plus Experience with React Flow, Highcharts, or other complex data-visualization libraries Hands-on experience with vector search UIs, RAG interfaces, or generative UI Understanding of Node.js/Python: you can read backend code and contribute to API design discussions Built or contributed to design systems or open-source component libraries How We Evaluate Fit We care more about craft, ownership, and the ability to make complex AI feel trustworthy than a perfect match to every library on paper. If you are the kind of engineer who can take a messy, complex enterprise problem and turn it into an interface people trust, we want to talk. What Shelf Offers: B2B contract Company Stock Options Hardware: MacBook Pro Modern technical stack. Develop open-source software A strong AI-native engineering environment with modern tools and room to experiment, including Claude Code, OpenAI Codex, and GitHub Copilot Why Shelf Becoming one of the defining companies of the AI age is a hard plan, and our leadership team has the rare mix of deep AI, knowledge-management, and enterprise SaaS experience to actually execute it We have raised over $60 million in funding; our investors include Tiger Global, Insight Partners, Base10, and others Recognized by Gartner as a Cool Vendor, with high-velocity growth powered by the most innovative product in our category We love our customers and our customers love us. Ask a Shelf customer why, and they'll tell you it's our innovative capabilities and rock-solid reliability, that they enjoy working with our people, and most of all, the improvements they see in their business KPIs We're building fast across three hubs: our New York HQ and our Product and Engineering centers in Warsaw and Lviv

🏢 Summary: Frontend engineering role focused on building enterprise-grade Next.js interfaces for AI-powered systems, including real-time AI interactions, semantic search, and knowledge-driven workflows. The position involves developing scalable, accessible, and high-performance UIs while contributing to frontend architecture, design systems, and AI-assisted engineering workflows. Candidates will work with modern AI tooling and enterprise application requirements in a fast-growing product environment. 🗂️ Requirements: 3–5 years frontend engineering experience, React expertise, TypeScript expertise, Production Next.js experience, SSR/SSG/CSR knowledge, State management experience, Experience with AI/LLM interfaces, Frontend performance optimization knowledge, Core Web Vitals understanding, Localization experience, Accessibility knowledge, Security best practices knowledge, AI coding assistants usage, Clear technical communication 📃 Skills: React, TypeScript, Next.js, SSR, SSG, CSR, JavaScript, LLM, AI, CoreWebVitals, Localization, Accessibility, Security, ReactFlow, Highcharts, RAG, MCP, DSPy, Node.js, Python, GitHubCopilot, Codex 🏢 Description: About Shelf The enterprise is going agentic and we are creating a unique operating system for an automated future. Most AI agents break the moment they hit real business complexity. That’s why we built a platform that models a company's policies, workflows, and operational logic into an AI Data Model. Shelf enables AI Agents to reliably reason and deliver precise and reliable outcomes at scale. We already have what most AI startups are still trying to earn: Enterprise customers such as Glovo, Nespresso, and HelloFresh, real production data, and tens of thousands of users. Customers trust us with operational knowledge: Our platform is highly reliable and secure with SOC2, HIPAA-ready security practices, and mature integrations in place. About the Role This role is for a frontend engineer with a few years of experience who wants to craft the interfaces that make enterprise AI accessible and trustworthy. While others build chatbots, we're solving the harder problem: how do you build UIs that help users confidently navigate AI-powered systems processing millions of documents, while maintaining enterprise-grade reliability? You'll build production Next.js applications that handle complex state, real-time AI streaming, and real enterprise functionality, growing into the harder architectural calls over time. We obsess over frontend quality because we're building the trust layer for AI itself: when your interfaces handle edge cases gracefully, give clear feedback during AI processing, and stay fast under load, you directly enable users to trust AI-powered answers and make critical business decisions. In our environment, AI isn't just what we build, it's how we build. You'll work alongside engineers who use AI coding assistants daily, build custom MCP servers, and experiment with new AI tooling to move faster. This is a role for someone in a high-growth chapter of their career, who wants to do the best work of their life, learn fast, and win as part of a team going all-in on a hard mission. What You Will Own Build and ship production Next.js applications with complex state and real-time AI interactions Build interfaces for AI-powered features: streaming LLM responses, semantic search, interactive knowledge graphs, and agentic builders Contribute to the component library and design system, keeping things reusable, accessible, and consistent Deliver enterprise-grade functionality: localization, accessibility, cross-browser support, and security best practices Help own what you ship after launch: monitor performance, optimize bundle sizes, and keep an eye on Core Web Vitals Use AI tools daily to move faster, and help improve internal frontend workflows Keep the bar high on code quality and testing through thoughtful code review What Strong Performance Looks Like You turn vague product problems into shipped, well-reasoned interfaces that users trust Complex AI behavior feels legible and controllable to users because of how you built the UI Your components are reusable, accessible, and perform well under real load You bring momentum. Work moves because you are on it What We Are Looking For Around 3 to 5 years of frontend engineering experience, with strong React and modern TypeScript Production Next.js experience: you've built and shipped SSR applications and understand the trade-offs between SSR, SSG, and CSR, with the appetite to go deeper Solid state management, with exposure to harder scenarios (real-time updates, optimistic UI, multi-tenant data) and the drive to grow there Experience building or contributing to AI/LLM interfaces: streaming responses, chat UIs, semantic search, or similar A feel for frontend performance: you care about Core Web Vitals and know the basics of improving them Exposure to enterprise application concerns: localization, accessibility, and security best practices A security-conscious approach to engineering: you handle sensitive data carefully and think about the security implications of what you ship Strong craft and product instinct: you spot UX issues and propose solutions, and you're not satisfied with "good enough" AI-native working style. You already use AI coding assistants daily and are eager to push the boundaries of AI-assisted development Clear communication. You articulate design decisions and technical trade-offs clearly, verbally and in writing Strong Plus Experience with React Flow, Highcharts, or other complex data-visualization libraries Hands-on experience with vector search UIs, RAG interfaces, or semantic search Familiarity with MCP, DSPy, or other cutting-edge AI frameworks, and building agentic AI interfaces Understanding of Node.js/Python backend fundamentals: you can read backend code and follow API design discussions Contributed to design systems or open-source component libraries A track record of growing fast and taking on more than your title strictly required How We Evaluate Fit We care more about craft, ownership, and the ability to make complex AI feel trustworthy than a perfect match to every library on paper. If you are the kind of engineer who can take a messy, complex enterprise problem and turn it into an interface people trust, we want to talk. What Shelf Offers B2B contract Company stock options Hardware: MacBook Pro Modern technical stack. Develop open-source software A strong AI-native engineering environment with modern tools and room to experiment, including Claude Code, OpenAI Codex, and GitHub Copilot Why Shelf Becoming one of the defining companies of the AI age is a hard plan, and our leadership team has the rare mix of deep AI, knowledge-management, and enterprise SaaS experience to actually execute it We have raised over $60 million in funding; our investors include Tiger Global, Insight Partners, Base10, and others Recognized by Gartner as a Cool Vendor, with high-velocity growth powered by the most innovative product in our category We love our customers and our customers love us. Ask a Shelf customer why, and they'll tell you it's our innovative capabilities and rock-solid reliability, that they enjoy working with our people, and most of all, the improvements they see in their business KPIs We're building fast across three hubs: our New York HQ and our Product and Engineering centers in Warsaw and Lviv

🏢 Summary: Backend engineering role focused on building and operating production-grade systems for agentic AI platforms. The position involves designing backend services, APIs, and distributed systems while collaborating across teams to deliver scalable and secure AI-driven solutions. Candidates will work with cloud infrastructure, databases, and AI tooling in a fast-paced engineering environment. 🗂️ Requirements: 3–5 years of backend engineering experience, Strong Python skills, Experience building production systems, Knowledge of distributed systems, Experience with AWS, GCP, or Azure, Experience with SQL and NoSQL databases, Understanding of schema design, Security-conscious engineering approach, Ability to deliver production-ready solutions, Clear written and verbal communication, Experience using AI tools in engineering workflows 📃 Skills: Python, AWS, GCP, Azure, SQL, NoSQL, TypeScript, AI, LLM, GitHub, Copilot, Codex 🏢 Description: About Shelf The enterprise is going agentic and we are creating a unique operating system for an automated future. Most AI agents break the moment they hit real business complexity. That’s why we built a platform that models a company's policies, workflows, and operational logic into an AI Data Model. Shelf enables AI Agents to reliably reason and deliver precise and reliable outcomes at scale. We already have what most AI startups are still trying to earn: Enterprise customers such as Glovo, Nespresso, and HelloFresh, real production data, and tens of thousands of users. Customers trust us with operational knowledge: Our platform is highly reliable and secure with SOC2, HIPAA-ready security practices, and mature integrations in place. Job Description This role is for a backend engineer with a few years of experience who wants to own real systems, not just implement tickets. You will take on meaningful backend problems, work out the right approach, ship it, and help keep it healthy in production. We want someone who is technically solid, communicates clearly, and is growing the judgment to make systems simpler, safer, and easier to evolve over time. You will own real work from design through production, with the support of a strong team around you. The hard part is real: building reliable, production-grade systems for agentic AI is a genuinely unsolved problem, and you'd work on it with real customers already depending on the result. That mix — real customers betting on us and problems the industry hasn't figured out yet, at startup speed — is rare. This is a role for someone in a high-growth chapter of their career, who wants to do the best work of their life, learn fast, and win as part of a team going all-in on a hard mission. What You Will Own Build and ship backend services, APIs, data flows, and background processing for production systems Turn requirements into concrete technical plans, trade-offs, and execution Help own services after launch: reliability, observability, performance, and incident follow-through Make sound decisions around interfaces, data models, and how your services fit the larger system Write clear technical notes and diagrams when they help the team move faster Work closely with product, frontend, and platform engineers to deliver end-to-end outcomes Improve engineering leverage with AI tooling, automation, and internal workflows rather than using AI as a gimmick Contribute to a high quality bar through code review and design review What Strong Performance Looks Like You move backend work forward with growing independence, asking for help at the right moments rather than waiting to be told what to do Your services get easier to operate and change as your design judgment grows You communicate trade-offs clearly and are a reliable teammate You use AI tools well: to accelerate analysis, implementation, debugging, writing, and repetitive work, while keeping a high verification bar What We Are Looking For Around 3 to 5 years of backend engineering experience building production systems Strong Python skills and the ability to write clean, maintainable backend code A working grasp of distributed systems: concurrency, failure handling, data consistency, async work, and service boundaries, with the appetite to deepen it Hands-on experience with cloud infrastructure such as AWS, GCP, or Azure Comfort with SQL and NoSQL systems and a solid feel for schema design A security-conscious approach to engineering: you handle sensitive data carefully and think about the security implications of the systems and AI workflows you ship Ability to go from problem statement to a shipped, production-ready result with growing ownership Clear written and verbal communication. You can explain systems, trade-offs, and incidents without hiding behind jargon AI-native working style. You already use AI tools in your daily engineering workflow and want to keep pushing that further Strong Plus Exposure to agentic systems: AI agents, tool-calling, orchestration, retrieval, or LLM-backed infrastructure Working knowledge of TypeScript or the ability to contribute across the stack when needed A track record of growing fast and taking on more than your title strictly required How We Evaluate Fit We care more about ownership, systems judgment, and learning velocity than a perfect keyword match to our stack. If you are the kind of engineer who can take a messy problem and turn it into a strong production system, we want to talk. What Shelf Offers B2B contract Company stock options Hardware: MacBook Pro Modern technical stack. Develop open-source software A strong AI-native engineering environment with modern tools and room to experiment, including Claude Code, OpenAI Codex, and GitHub Copilot Why Shelf Becoming one of the defining companies of the AI age is a hard plan, and our leadership team has the rare mix of deep AI, knowledge-management, and enterprise SaaS experience to actually execute it We have raised over $60 million in funding; our investors include Tiger Global, Insight Partners, Base10, and others Recognized by Gartner as a Cool Vendor, with high-velocity growth powered by the most innovative product in our category We love our customers and our customers love us. Ask a Shelf customer why, and they'll tell you it's our innovative capabilities and rock-solid reliability, that they enjoy working with our people, and most of all, the improvements they see in their business KPIs We're building fast across three hubs: our New York HQ and our Product and Engineering centers in Warsaw and Lviv

🏢 Summary: This role offers junior engineers the opportunity to build and deliver real product features in an AI-native engineering environment, using AI agents to accelerate development from idea to production. You will work across backend, frontend, mobile, and infrastructure layers in small autonomous teams, focusing on impactful, user-centered solutions. The position emphasizes hands-on development, technical growth, and collaboration on improving AI-driven workflows. 🗂️ Requirements: Minimum 1 year of software development experience, Experience building a real product, system, tool, or feature, Ability to work across backend, frontend, or mobile layers, Ability to collaborate with product, design, and engineering teams, Ability to learn and apply new technologies quickly, Interest in AI and AI-assisted development tools 📃 Skills: Go, MySQL, Kafka, Docker, Kubernetes, AWS, Redis, Next.js, React, TypeScript, GraphQL, Tailwind, Cloudflare, SwiftUI, Xcode, Combine, SPM, MVVM, Kotlin, Android, Hilt, Coroutines, Jetpack, Linux, GitLab, ArgoCD, Terraform, Helm, OpenSearch, Prometheus, Python, Golang, Claude, OpenAI, Codex, Cursor 🏢 Description: At Saily, we’re removing the hassle of staying connected while traveling — no roaming fees, no plastic SIM cards, just lightning-fast, secure mobile data in 200+ destinations. Saily has millions of paying customers and hundreds of thousands travelers browsing through Saily at any given moment. To build the best product for our customers we foster AI-native Product Engineering culture , where: - The Engineer is the builder, who is responsible for solving customer problems end-to-end (idea to production) - AI Agents are the enablers who write most of the code and solve repeatable  tasks to  help the Engineers  maximize their impact - Everyone contributes to making Saily effective by suggesting new areas for improvement to delegate to agents and then implementing the changes - Curiosity, learning and sharing are everyone's responsibility - Customer, having a comfortable, connected, hassle-free journey is never lost from the focus We value growth over comfort, contribution over hierarchy, and impact over process. At Saily, we believe in giving sharp people context, autonomy, and AI as their multiplier to allow them to just do their best work. We’re opening our doors to talented junior engineers - because impact isn’t measured in years of experience. It comes from your drive to learn, your discipline, and a sharp mind. It’s about building and shaping what’s around you - and Saily will give you the room to do exactly that. What can you expect from us? Hands-on experience with AI-assisted software development, shared openly. Full freedom to use whatever learning resources you need to keep up. A product that’s successful, impactful, and technically challenging - something you’ll actually want to build. Pack your skills, bring your vision, and join Saily ! Main Responsibilities Delivers small tools/features with support from the team. Collaborate with product, design, and other engineers. Operate in small, highly autonomous teams. Learn how to use AI agents for specs, coding, analysis, testing, and iteration. Take part in the improvements of our internal agent network and development workflows. Focus on user and business outcomes, not output. Core requirements 1+ year of software development experience building something real (product, system, tool, startup, side project, meaningful feature, or student project) You value autonomy over stability and process You enjoy working across layers instead of staying in one box You think in problems and outcomes, not tickets You are comfortable with ambiguity You can learn new technologies quickly You are curious about AI and excited to work with agents Tools You Will Use Backend: Go, MySQL, Kafka, Docker, Kubernetes, AWS, Redis Frontend: Next.js, React.js , TypeScript, GraphQL, Tailwind CSS, Cloudflare Workers IOS: SwiftUI, Xcode, Combine, SPM, MVVM Architecture Android: Kotlin, Android Studio, Hilt, Coroutines, Jetpack Compose, MVVM Architecture Infra: Linux, Docker, GitLab, ArgoCD, AWS, Terraform, Helm, OpenSearch, Prometheus, Python / Golang AI tools: Claude Code, OpenAI Codex, OpenCode, Cursor with Composer Salary Range Gross salary:  18,100 — 24,400 PLN / month What We Offer Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Fuel your active lifestyle with online workouts led by our Physical Well-Being experts. Unlock a variety of sports and wellness facilities, like gyms, swimming pools, and fitness classes, with the Multisport card. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together.

🏢 Summary: Senior backend engineering role focused on designing and owning production-grade backend systems for AI-native enterprise platforms. The position involves building scalable services, APIs, and distributed systems while improving reliability, observability, and engineering workflows with AI tooling. The role offers high ownership, collaboration across teams, and work on AI agents and enterprise-grade infrastructure. 🗂️ Requirements: Senior-level backend engineering experience, Strong Python skills, Experience designing production backend systems, Knowledge of distributed systems, Experience with AWS, GCP, or Azure, Database schema design and performance tuning, Security-conscious engineering approach, Ability to own systems from design to production, Clear written and verbal communication, Experience using AI tools in engineering workflows, Work from Warsaw office 📃 Skills: Python, AWS, GCP, Azure, TypeScript, APIs, AI, LLM, Codex, Claude, Copilot, GitHub, SQL, Concurrency, Orchestration 🏢 Description: About Shelf The enterprise is going agentic and we are creating a unique operating system for an automated future. Most AI agents break the moment they hit real business complexity. That’s why we built a platform that models a company's policies, workflows, and operational logic into an AI Data Model. Shelf enables AI Agents to reliably reason and deliver precise and reliable outcomes at scale. We already have what most AI startups are still trying to earn: Enterprise customers such as Glovo, Nespresso, and HelloFresh, real production data, and tens of thousands of users. Customers trust us with operational knowledge: Our platform is highly reliable and secure with SOC2, HIPAA-ready security practices, and mature integrations in place. Job Description: This role is for a senior backend engineer who can design and own business-critical systems. We want someone who is strong technically, communicates clearly, and has the judgment to make systems simpler, safer, and easier to evolve over time. Expect real ownership from system design through production. The team is small enough for engineers to make real decisions. Career growth comes from ownership. Titles matter less than the scope you can carry. The people who grow fastest take responsibility for larger systems, drive customer outcomes, and strive to develop better engineering practices. You solve ambiguous problems by shaping the right architectural approach, then ship, iterate, and keep it healthy in production. We build AI-native. Engineers use Codex, Claude Code, and agents they build themselves. We invest in harness engineering through skills, CLIs, logs, traces, and orchestration. This is a role for someone in a high-growth chapter of their career, who wants to do the best work of their life, learn fast, and win as part of a team going all-in on a hard mission. Location – Warsaw, work from the office. What You Will Own Design and ship backend services, APIs, data flows, and background processing for production systems Turn vague requirements into concrete technical plans, trade-offs, and execution Own services after launch: reliability, observability, performance, and incident follow-through Instrument what you ship and use production signal to iterate, not just to keep the lights on Make sound decisions around system boundaries, data models, interfaces, and scaling paths Work closely with product, frontend, and platform engineers to deliver end-to-end outcomes Improve engineering leverage with AI tooling, automation, and internal workflows rather than using AI as a gimmick Raise the quality bar through code review, design review, and pragmatic technical leadership What Strong Performance Looks Like You reliably move important backend work forward without waiting to be tightly managed. Your systems are easier to operate and easier to change because of your design decisions. You make smart trade-offs to unblock shipping - and you stand by those decisions. You keep raising the bar on engineering excellence for yourself and everyone else. What We Are Looking For Strong senior-level backend engineering experience in production systems Strong Python skills and the ability to design clean, maintainable backend code Good distributed systems judgment: concurrency, failure handling, data consistency, async work, and service boundaries Hands-on experience with cloud infrastructure such as AWS, GCP, or Azure Comfort with database schema design and performance tuning for real-time and high throughput scenarios A security-conscious approach to engineering: you build for enterprise-grade requirements, handle sensitive data carefully, and think about the security implications of the systems and AI workflows you ship Ability to go from problem statement to design to production rollout with real ownership Clear written and verbal communication. You can explain systems, trade-offs, and incidents without hiding behind jargon AI-native working style. You already use AI tools in your daily engineering workflow, and you're excited to improve how the team builds, not just your own output: better tooling, workflows, and engineering leverage Strong Plus Experience building agentic systems: AI agents, tool-calling, orchestration, retrieval, or LLM-backed infrastructure in production Working knowledge of TypeScript or the ability to contribute across the stack when needed Experience shaping technical direction for other engineers, even without formal management responsibility How We Evaluate Fit We care more about ownership, systems judgment, and learning velocity than a perfect keyword match to our stack. If you are the kind of engineer who can take a messy problem and turn it into a strong production system, we want to talk. What Shelf Offers: B2B contract. Company Stock Options. Hardware: MacBook Pro. Modern technical stack . Develop open-source software . GitHub Copilot subscription. A strong AI-native engineering environment with modern tools and room to experiment, including Claude Code, OpenAI Codex, and GitHub Copilot. Why Shelf: Becoming one of the defining companies of the AI age is a hard plan, and our leadership team has the rare mix of deep AI, knowledge-management, and enterprise SaaS experience to actually execute it We have raised over $60 million in funding; our investors include Tiger Global, Insight Partners, Base10, and others Recognized by Gartner as a Cool Vendor, with high-velocity growth powered by the most innovative product in our category We love our customers and our customers love us. Ask a Shelf customer why, and they'll tell you it's our innovative capabilities and rock-solid reliability, that they enjoy working with our people, and most of all, the improvements they see in their business KPIs We're building fast across three hubs: our New York HQ and our Product and Engineering centers in Warsaw and Lviv

🏢 Summary: Senior Backend Engineer role focused on designing and owning production-grade backend systems for AI-native enterprise platforms. The position involves building scalable APIs, data flows, and distributed systems with strong ownership from architecture to production operations. Engineers work with AI tooling and cloud infrastructure to deliver reliable, secure, and maintainable systems in a high-growth environment. 🗂️ Requirements: Senior-level backend engineering experience, Strong Python skills, Experience designing production backend systems, Knowledge of distributed systems, Experience with concurrency and async processing, Hands-on cloud infrastructure experience, Database schema design expertise, Performance tuning for high-throughput systems, Security-conscious engineering approach, Ability to own systems from design to production, Clear written and verbal communication, Experience using AI tools in engineering workflows, Ability to work from Warsaw office 📃 Skills: Python, AWS, GCP, Azure, TypeScript, Codex, Claude, Copilot, APIs, LLM 🏢 Description: About Shelf The enterprise is going agentic and we are creating a unique operating system for an automated future. Most AI agents break the moment they hit real business complexity. That’s why we built a platform that models a company's policies, workflows, and operational logic into an AI Data Model. Shelf enables AI Agents to reliably reason and deliver precise and reliable outcomes at scale. We already have what most AI startups are still trying to earn: Enterprise customers such as Glovo, Nespresso, and HelloFresh, real production data, and tens of thousands of users. Customers trust us with operational knowledge: Our platform is highly reliable and secure with SOC2, HIPAA-ready security practices, and mature integrations in place. Job Description: This role is for a senior backend engineer who can design and own business-critical systems. We want someone who is strong technically, communicates clearly, and has the judgment to make systems simpler, safer, and easier to evolve over time. Expect real ownership from system design through production. The team is small enough for engineers to make real decisions. Career growth comes from ownership. Titles matter less than the scope you can carry. The people who grow fastest take responsibility for larger systems, drive customer outcomes, and strive to develop better engineering practices. You solve ambiguous problems by shaping the right architectural approach, then ship, iterate, and keep it healthy in production. We build AI-native. Engineers use Codex, Claude Code, and agents they build themselves. We invest in harness engineering through skills, CLIs, logs, traces, and orchestration. This is a role for someone in a high-growth chapter of their career, who wants to do the best work of their life, learn fast, and win as part of a team going all-in on a hard mission. Location – Warsaw, work from the office. What You Will Own Design and ship backend services, APIs, data flows, and background processing for production systems Turn vague requirements into concrete technical plans, trade-offs, and execution Own services after launch: reliability, observability, performance, and incident follow-through Instrument what you ship and use production signal to iterate, not just to keep the lights on Make sound decisions around system boundaries, data models, interfaces, and scaling paths Work closely with product, frontend, and platform engineers to deliver end-to-end outcomes Improve engineering leverage with AI tooling, automation, and internal workflows rather than using AI as a gimmick Raise the quality bar through code review, design review, and pragmatic technical leadership What Strong Performance Looks Like You reliably move important backend work forward without waiting to be tightly managed. Your systems are easier to operate and easier to change because of your design decisions. You make smart trade-offs to unblock shipping - and you stand by those decisions. You keep raising the bar on engineering excellence for yourself and everyone else. What We Are Looking For Strong senior-level backend engineering experience in production systems Strong Python skills and the ability to design clean, maintainable backend code Good distributed systems judgment: concurrency, failure handling, data consistency, async work, and service boundaries Hands-on experience with cloud infrastructure such as AWS, GCP, or Azure Comfort with database schema design and performance tuning for real-time and high throughput scenarios A security-conscious approach to engineering: you build for enterprise-grade requirements, handle sensitive data carefully, and think about the security implications of the systems and AI workflows you ship Ability to go from problem statement to design to production rollout with real ownership Clear written and verbal communication. You can explain systems, trade-offs, and incidents without hiding behind jargon AI-native working style. You already use AI tools in your daily engineering workflow, and you're excited to improve how the team builds, not just your own output: better tooling, workflows, and engineering leverage Strong Plus Experience building agentic systems: AI agents, tool-calling, orchestration, retrieval, or LLM-backed infrastructure in production Working knowledge of TypeScript or the ability to contribute across the stack when needed Experience shaping technical direction for other engineers, even without formal management responsibility How We Evaluate Fit We care more about ownership, systems judgment, and learning velocity than a perfect keyword match to our stack. If you are the kind of engineer who can take a messy problem and turn it into a strong production system, we want to talk. What Shelf Offers: B2B contract. Company Stock Options. Hardware: MacBook Pro. Modern technical stack . Develop open-source software . GitHub Copilot subscription. A strong AI-native engineering environment with modern tools and room to experiment, including Claude Code, OpenAI Codex, and GitHub Copilot. Why Shelf: Becoming one of the defining companies of the AI age is a hard plan, and our leadership team has the rare mix of deep AI, knowledge-management, and enterprise SaaS experience to actually execute it We have raised over $60 million in funding; our investors include Tiger Global, Insight Partners, Base10, and others Recognized by Gartner as a Cool Vendor, with high-velocity growth powered by the most innovative product in our category We love our customers and our customers love us. Ask a Shelf customer why, and they'll tell you it's our innovative capabilities and rock-solid reliability, that they enjoy working with our people, and most of all, the improvements they see in their business KPIs We're building fast across three hubs: our New York HQ and our Product and Engineering centers in Warsaw and Lviv

🏢 Summary: Senior Full Stack Engineer role focused on owning and delivering AI-native production systems end-to-end, from backend and infrastructure to frontend layers. The position involves architecting scalable services, building retrieval and LLM-based pipelines, and solving complex distributed systems challenges in cloud environments. It requires high autonomy and strong engineering judgment to ship reliable, high-performance systems. 🗂️ Requirements: 8+ years of experience building and shipping production systems, Strong system design and data modeling skills, Experience with backend development in Python, Experience designing and building scalable APIs, Experience with PostgreSQL and Redis, Experience working with distributed systems, Experience deploying systems to cloud platforms (GCP, AWS, or Azure), Ability to design, build, and deploy systems end-to-end independently, Strong understanding of concurrency and performance optimization 📃 Skills: Python, PostgreSQL, Redis, Temporal, Hatchet, GCP, AWS, Azure, Kubernetes, LLM, APIs, Embeddings, Reranking, DistributedSystems, Concurrency, SystemDesign 🏢 Description: Senior Full Stack Engineer Streetbeat Streetbeat builds AI-native software for financial institutions. We design and operate production systems where LLMs, data infrastructure, and real-world constraints intersect . Our products are used across Europe and the United States by institutions that expect reliability, precision, and performance. We are deliberately small, highly selective, and deeply focused on execution. We value clarity of thought, technical depth, and the ability to ship meaningful systems quickly . This is not a company optimized for headcount. It is optimized for talent density . The Role We are looking for a Senior Full Stack Engineer who can take full ownership of complex product surfaces and bring them to production with precision. You will operate across backend systems, infrastructure, AI pipelines, and frontend layers. The work is varied, but never trivial: from designing resilient APIs to improving retrieval systems, from debugging distributed systems to refining critical user workflows. You will be trusted to navigate ambiguity, make high-quality decisions, and execute without friction . This role is designed for engineers who are not just implementers, but builders with taste, judgment, and depth . What You’ll Do Own systems end-to-end, from initial concept to production deployment Architect and build backend services using Python, PostgreSQL, Redis, Temporal, and Hatchet Design APIs that are both robust and elegant, supporting real-world usage at scale Work on AI-native systems: retrieval pipelines, embeddings, reranking, agent workflows, and evaluation layers Improve performance, reliability, and observability across the stack Solve non-trivial infrastructure challenges across GCP, AWS, and Azure Diagnose and resolve complex production issues in distributed systems Collaborate closely with product and leadership to shape direction—not just execute on it Make pragmatic, high-leverage technical decisions with strong engineering judgment What We’re Looking For 8+ years of experience building and shipping production systems Strong fundamentals in system design, data modeling, concurrency, and performance Demonstrated ability to take products from idea to production independently Comfort operating across multiple layers of the stack when necessary Strong product intuition and attention to user experience High ownership, autonomy, and accountability Ability to learn quickly and reason from first principles Clear, structured communication A genuine interest in understanding how systems work at a fundamental level Nice to Have Experience working with LLM-based systems in production Familiarity with Kubernetes and modern cloud infrastructure Strong debugging instincts and a bias toward root cause analysis Experience in high-performance or fast-scaling startup environments You Don’t Need Prior experience in fintech or trading Who Thrives Here Engineers who derive satisfaction from shipping high-quality systems People who prioritize substance over optics Individuals comfortable operating with high autonomy and low process Builders who can translate ambiguity into well-structured solutions Those who seek responsibility and impact , not permission People who care about quality - but understand when to ship Why Streetbeat Immediate and tangible impact on real systems used in production High ownership with minimal bureaucracy Exposure to complex, meaningful technical challenges A small, highly capable team with strong engineering standards Competitive compensation aligned with talent and impact Offices in Italy, Poland, and Palo Alto, with opportunities to travel Streetbeat is built for engineers who value depth, clarity, and execution - and who want to be surrounded by others who do the same.

🏢 Summary: Frontend-leaning Fullstack Engineer role focused on building and owning end-to-end SaaS features using modern frontend frameworks, scalable backend services, and AI-driven automation tools. The position combines React/Next.js development with Node.js backend work, async systems, and production AI integrations. Strong emphasis on speed, ownership, and delivering reliable, high-scale systems. 🗂️ Requirements: 3+ years professional full-stack development experience, Strong proficiency in React.js and Next.js, Solid backend experience with Node.js (NestJS preferred), Experience integrating external APIs (authentication, pagination, retries, rate limits), Experience with asynchronous processing, queues, and background jobs, Hands-on experience with AI tools (OpenAI, Claude, Cursor), Strong SQL skills (PostgreSQL preferred), Experience building reliable systems (error handling, retries, observability), Fluent English and Polish 📃 Skills: React, Next.js, Node.js, NestJS, JavaScript, TypeScript, PostgreSQL, SQL, REST, WebSockets, gRPC, Kafka, BullMQ, LavinMQ, AWS, GCP, DigitalOcean, Fly.io, GitLab, OpenAI, Claude, Cursor, Golang, Elixir, Rust, BigQuery, ClickHouse 🏢 Description: At Web Impact, we’re more than just an email marketing agency and digital solutions provider. We build cutting-edge, socially impactful products that redefine how businesses operate in the digital world. We’re looking for a frontend-leaning Fullstack Engineer who enjoys building complex systems, integrating external services, and leveraging AI tools to speed up development and automate workflows. If you’re excited about combining modern frontend development with AI-driven workflows and automation tools like Claude Code, Cursor, and LLM frameworks , this one is for you. What You’ll Do Own and deliver end-to-end features across SaaS products and internal tools Build modern, high-performance frontends using Next.js and React.js Develop scalable backend services using Node.js / NestJS Design and integrate APIs (REST, WebSockets, external services) Build and maintain automation workflows and background jobs Work with async systems, queues, and event-driven architectures Integrate third-party services with real-world constraints (rate limits, retries, auth flows) Use AI tools to improve development speed, testing, and automation Collaborate directly with product, data, and leadership teams AI & Automation This role includes working with modern AI tooling and automation systems, with a strong focus on speed, ownership, and execution : Using tools like Claude Code, Cursor, and OpenAI SDK in daily development Building AI-driven workflows and integrations quickly and iteratively Automating repetitive processes (data handling, content, integrations) Applying LLMs in production with a pragmatic, results-first approach Taking full ownership of problems - from idea to production Shipping fast, testing in real conditions, and iterating based on outcomes Being accountable for delivery - not just writing code, but making things work end-to-end Prioritizing execution over perfection - speed is key What We’re Looking For 3+ years of professional full-stack experience Strong frontend skills in React.js / Next.js Solid backend experience with Node.js (NestJS preferred) Experience integrating external APIs (auth, pagination, retries, rate limits) Experience working with async processing, queues, and background jobs Hands-on experience with modern AI tools (OpenAI, Claude, Cursor, etc.) Good SQL skills (PostgreSQL preferred) Understanding of building reliable systems (error handling, retries, observability) Strong communication skills and ability to work cross-functionally Fluent in English and Polish Nice to Have Experience with Rust (async, Tokio, Axum) Experience with Elixir (Phoenix LiveView, GenServer) Understanding of distributed systems and architectures Experience with multi-region deployments and geo-distributed infrastructure Experience building systems with high parallelism (a large number of workers processing jobs concurrently) Familiarity with distributed databases and data consistency trade-offs Experience with multi-tenancy architectures (tenant isolation, scaling strategies) Experience working with high-throughput event pipelines Our Tech Stack Frontend: Next.js, React.js Backend: Node.js, NestJS, Golang, Elixir, Rust Data: PostgreSQL, BigQuery, ClickHouse Infra: AWS, Fly.io , Google Cloud, DigitalOcean Queues & Workers: LavinMQ, BullMQ, Kafka CI/CD: GitLab CI AI/ML & Automation: Proprietary GenAI models, OpenAI, Claude, internal tooling Integrations: REST, gRPC, WebSockets, external APIs with rate limits Why Join Us? Work on high-scale SaaS systems processing hundreds of millions of events daily , with real-time pipelines and data-heavy workloads. Ownership from day one - influence architecture, technology choices, and product direction. Collaborate with world-class engineers, AI specialists, and PMs. Innovation-first culture - explore cutting-edge frameworks and architectures. Fast execution, minimal bureaucracy, no unnecessary meetings Opportunity to work with modern AI tooling in production Competitive senior-level compensation and career growth. Social impact - contribute to automation products that empower businesses and communities. Our Streamlined Hiring Process Initial call Technical deep dive with our team Decision

🏢 Summary: Mid-level React/TypeScript Engineer role focused on building and owning production-grade frontend applications (dashboards, operator panels, customer apps) on top of AI agent systems. The position involves close collaboration with backend services and active use of AI coding tools while maintaining strong engineering judgment and code quality. You will take full ownership of features from design to deployment in a production environment with real users. 🗂️ Requirements: 3–5 years commercial experience in frontend development, Strong proficiency in TypeScript, Deep understanding of React and rendering lifecycle, Experience building scalable frontend architectures, Experience integrating with REST APIs and authentication systems, Ability to work with backend technologies (Node.js or Python), Experience with state management and data synchronization, Proficiency with Next.js, Experience working with MongoDB, Experience deploying or working with AWS, Ability to use AI coding tools critically and effectively 📃 Skills: TypeScript, React, Next.js, Tailwind, Node.js, Python, MongoDB, AWS, REST, Claude, Cursor, MCP 🏢 Description: Who we are AgentX is a platform for building and running production AI agents - and a team that ships real systems on top of it for clients who need more than a demo. The platform is the infrastructure: orchestration, memory, tools, evals, deployment - the layer that makes agentic systems actually work in production. On top of it, we build end-to-end solutions for our clients. One of the systems running on AgentX today is KsięgoBoty - a multi-agent product used daily by hundreds of Polish accounting firms. Paying customers, production load, real consequences when something breaks. We're small, technical, AI-heavy, and we ship. Who we're looking for A solid React engineer who actually understands what's happening under the hood, and uses AI tools daily without outsourcing their brain to them. You'll join the team that owns the user-facing layer of our products: the dashboards, the operator panels, the customer-facing apps that sit on top of the agents. We need someone we can trust to take a feature, build it well, and ship it without it coming back broken three days later. This isn't a flashy role and we're not looking for a flashy person. We need craftsmanship. If you read a ticket and your first instinct is "what's the data model, what's the component structure, where does state actually live" - keep reading. If your first instinct is "I'll just vibe-code it with Cursor and hope the PR passes" - this isn't for you, and that's fine. What we mean by "good React engineer" You write TypeScript well: types help you, they don't slow you down You understand React deeply enough to debug a re-render problem without guessing You can structure a non-trivial frontend so it doesn't turn into a tangle in six months You've worked with a real backend: REST, auth, data sync, edge cases — and you can hold both ends of a feature in your head You read other people's code carefully and review like an adult: kindly, but honestly You are comfortable using AI tools daily, but you do not outsource your judgment to them You know how to check AI-generated code instead of trusting it because it “looks right” ~3–5 years of commercial experience is roughly where we expect this person to sit. Less is fine if you're sharp; more is fine if you actually want a Mid role. How we work with AI We use AI heavily. Claude Code, Codex, Cursor, MCP, agent workflows: they're a normal part of how we work, the same way Git or Docker is. You'll be expected to use them the same way: not as a gimmick, not as a shortcut around understanding the codebase, but as leverage. That means: break work into clear chunks, guide the tools through implementation, review their output critically, fix what's wrong, and own the final result. You should be faster with these tools than without them - and you should know exactly where they're about to lie to you. AI doesn't turn a bad engineer into a good one. It just makes them ship faster, which is worse. So: We do not want people who only know how to prompt. We also do not want people who proudly refuse to use AI and treat it like autocomplete with better marketing. The right person sits in the middle: strong fundamentals, strong taste, strong ownership - multiplied by modern AI tooling. What you'll actually own Frontend, day-to-day. React, TypeScript, Tailwind, Next.js. Real product surfaces - operator dashboards, customer panels, internal tools that real people use to do real work. Fullstack when needed. You won't live exclusively in the frontend. Node/Python on the backend when a feature needs it - you don't have to be an expert, but you have to be willing. Quality. The thing you ship works, doesn't break the next thing, and doesn't make the codebase worse. We notice this. Working with the team. Code reviews, architecture decisions - we figure out the harder calls together. You're not coding in a vacuum. The stack TypeScript / React / Next.js · Tailwind · Node.js · Python (some) · MongoDB · AWS · Claude / Cursor / MCP for tooling. We don't use Go. Nice-to-have (not required) You've built a side project that you actually shipped, not just started You've worked with LLM APIs in production (not "I made a chatbot in a tutorial") You care about UX - not as a designer, but as someone who notices when something feels wrong What we offer 13 000 – 18 000 PLN netto + VAT, B2B Remote-friendly, Poland-based A small team that ships and doesn't waste your time Direct work with the founders - no Jira theater, no three-round groomings, no PM filtering your ideas Modern AI tooling fully paid for (Claude Max, Cursor, Codex, whatever helps you work better) Real ownership of the frontend layer of a product people use every day How the process works 1. You send us stuff recruitment@agentx.so Your CV — yes, we read them One thing you built end-to-end you're proud of — and what you'd change about it today One AI product (yours or someone else's) you think is genuinely good, and why Your take: a client says our agent is "mostly right but wrong in ways that scare them." What do you do first? 2. We reply within 2-3 days — either "let's talk" or "not this time, here's why." No black hole. 3. We meet — 30-45 min call with the founder. We talk about your work, you ask us hard questions. If the chemistry isn't there, no hard feelings. 4. Problem-solving session (top 2-3 candidates) — we give you a real problem we're working on. You come back with how you'd approach it: your thinking, your trade-offs, your questions. We're not watching over your shoulder. We want to see how you think. 5. Decision within 2-3 days. If yes — you start when you're ready. Tomorrow, next week, after notice period. Your call.

🏢 Summary: Senior Software Engineer role focused on building and scaling backend-driven features for a global travel tech product used by millions. The position involves end-to-end ownership of services powering the AirHelp+ subscription and mobile app, with daily production deployments. You will design, implement, and scale cloud-based systems that directly impact user experience and operational efficiency. 🗂️ Requirements: 5+ years of experience building production-grade software, Proficiency in backend development with Ruby, Golang, Python or Node.js, Experience designing and maintaining APIs, Experience with background job processing and messaging systems, Experience working with cloud infrastructure, Ability to work with React and TypeScript for end-to-end feature delivery, Experience with relational databases, Knowledge of CI/CD pipelines and automated testing, Strong understanding of software architecture and design patterns, Proficiency in English 📃 Skills: Ruby, Rails, Golang, Python, Node.js, React, JavaScript, TypeScript, PostgreSQL, AWS, Docker, Kubernetes, Terraform, ELK, Grafana, Sentry, CI/CD, APIs 🏢 Description: Build systems at global scale. Ship daily. Own real impact. At AirHelp, we help millions of airline passengers worldwide receive the compensation they deserve. We’re looking for a Senior Software Engineer who thrives on speed, ownership, and building products that matter. This isn’t a “feature factory” role. You’ll take end-to-end responsibility for technical challenges that directly shape both the experience of millions of users and the productivity of our teams. If you’re motivated by shipping fast, solving real problems, and seeing the results of your work immediately, this is the place for you. Join our product engineering team to build impactful features used by travelers worldwide to manage their journeys and navigate disruptions through our mobile app. We are looking for a skilled engineer who thrives in a collaborative environment and is eager to work across a variety of modern backend stacks to power our AirHelp+ product and mobile app experience. What you can expect from us: Opportunity to build high-impact features for the AirHelp+ subscription and our mobile app backend that directly improve the travel experience for millions. Culture that promotes good engineering practices, high-quality code, and continuous improvement. Daily deployments to production, ensuring fast impact and iterative development. Access to a modern tech stack and a variety of functional areas, including: Backend: Ruby/Rails, Golang, Python, Node.js Frontend: React, JavaScript, TypeScript Databases: PostgreSQL Infrastructure: AWS, Docker, Kubernetes, Terraform Monitoring & Testing: ELK/Grafana, Sentry, CI/CD tools What you’ll drive: Build new services and enrich existing ones to enhance our core product offerings. Write clean, scalable, and maintainable code that performs reliably within our cloud infrastructure. Design robust solutions architecture and proactively propose technical improvements. Promote best engineering practices and maintain high coding standards within the team. Actively participate in all stages of the software development lifecycle, from initial ideation to production deployment. Provide constructive feedback through code reviews and support the technical growth of your peers. Directly impact the product direction by contributing technical insights to the roadmap. What you’ll deliver in your first year: Launch the Fast Track voucher system for AirHelp+ members to provide guaranteed, proactive value on every trip regardless of flight disruptions. Implement new add-on features to allow subscribers to purchase per-trip coverage for companions and increase protection density. Scale the flight automation ecosystem by building multi-inbox synchronization for Gmail and Outlook alongside historical delay performance statistics. Overhaul the mobile onboarding and notification systems to drive user activation and deliver personalized journey alerts for travelers and observers. Deploy persistent Live Updates and Live Activity refreshes to ensure travelers have real-time, offline-ready flight status throughout their entire journey. What sets you apart: Software engineer (Full stack or Backend focus) with 5+ years of experience in building production-grade software. Polyglot mindset with proficiency in modern backend stacks; while Ruby on Rails is our core, we welcome experts in Golang, Python or Node.js who are eager to adapt and master new languages. Technical depth in backend infrastructure with strong experience in API contracts, background job processing, and messaging systems. Pragmatic approach to frontend as a backend-leaning expert who is comfortable navigating React/TypeScript environments to deliver end-to-end features. Architectural intuition and the ability to apply modern design patterns to solve real-world travel tech challenges and data pipelines. Startup mindset characterized by a hands-on, iterative approach that focuses on delivering user impact through rapid development. Proficiency in leveraging AI-assisted development tools to increase coding efficiency, debugging speed, and overall productivity. Curiosity for the travel tech domain and the challenge of building automation within complex, real-world environments. Excellent communication skills and a collaborative mindset that thrives in a transparent team environment. High level of ownership and a strong sense of responsibility for the entire lifecycle of the systems you build. Good command of written and spoken English. You might be interested in checking our open source contributions https://github.com/AirHelp and our tech blog: https://airhelp.tech/ Why AirHelp: Fast Impact : We deploy daily - your code reaches millions quickly. Autonomy : High trust, zero politics. We hire builders, not order takers. Growth : Learning days, personal development plans, workshops, mentorship, and language classes. Perks : Private healthcare, non-service days, wellness budget, travel stipend, gym/transport subsidy, free access to AirHelp services, and more. Ready to own something real? Apply now and help us build the systems that make air travel fairer for millions of passengers.