Full-Stack Product Engineer

🏢 Summary: Platform / DevOps Engineer role focused on designing and operating a multi-tenant, real-time conversational AI infrastructure across public and private clouds. The position owns Kubernetes-based production environments, CI/CD, observability, inference routing, and cost optimization with strict latency and compliance requirements. The engineer shapes scalable, reliable infrastructure powering enterprise-grade AI deployments. 🗂️ Requirements: Significant production experience with Kubernetes at scale, Experience with multi-tenant SaaS architecture and isolation strategies, Hands-on experience in public and private cloud environments, Strong database expertise including replication, indexing, partitioning, tuning, Proficiency in Infrastructure as Code, Deep understanding of networking including ingress, mTLS, service mesh, DNS, Experience building and maintaining CI/CD pipelines, Experience implementing observability and monitoring systems, Experience with compliance, secrets management, and PII handling, Fluent English (B2) and Polish (C1) 📃 Skills: Kubernetes, Docker, CI/CD, Terraform, Networking, mTLS, DNS, ServiceMesh, Databases, SQL, Replication, Indexing, Partitioning, Monitoring, Observability, Cloud, SIP, WebRTC, RTP, AI, ModelAPIs 🏢 Description: About Lekta AI Founded in 2016 in Kraków, Poland , Lekta AI is a technological company working with major European banking , insurance , and telco enterprises . The company was set up with an ambitious goal of providing the best customer service in the world . Lekta stands out from the crowd of conversational AI companies because we combine technological expertise with domain-specific knowledge from contact center industry veterans . Through the use of our proprietary conversational neurosymbolic engine and backend integrations , our systems are intent- and context-aware , handling over 1.5 million conversations every month . Today, with offices in Poland and Spain , Lekta is rapidly expanding its business division to scale operations internationally . About the role Lekta is hiring a Platform / DevOps Engineer to own the infrastructure that carries our platform end-to-end — runtime, IDE, and the layers beneath . You'll work across both public cloud and private cloud deployments , because the customers we serve span both. Infrastructure decisions in this domain land directly in product quality: sub-second latency , multi-tenant isolation , deterministic compliance , and inference cost at scale all live in your remit. The systems you design now will shape how Lekta scales for years to come . We are building the next generation of conversational AI — a platform where the creator's experience is itself AI-native . Think of what Lovable did for app-building, applied to conversational agents: a visual IDE , a copilot that helps the user shape, refine and evolve the agent, and a runtime engineered to deploy what gets built into enterprise production . What makes the engineering genuinely hard is the combination our agents have to deliver simultaneously: fluent (natural language, real conversation), fast (sub-second on live voice channels), and reliable (predictable behaviour under real customer pressure, every time). Most stacks force a choice between two of those at the cost of the third. We don't , and that constraint shapes almost every engineering problem we work on. AI is a power tool , and we treat it like one. Lekta engineers are encouraged — and equipped — to use AI deeply across their work: Claude Code , model APIs , copilot tooling . We invest in the accounts, tooling, and time it takes to get fluent with them. We don't measure people on lines committed ; we measure on what gets delivered and how well it holds up in production . We are not an agentic-workflow company . AI generates; the engineer directs and reviews. Every change going out under your name has been read, understood, and signed off by you . Responsibilities Design, run and evolve Lekta's multi-tenant production infrastructure on Kubernetes across public and private cloud environments Own the infrastructure for real-time conversational channels , where latency is part of the product spec Build the routing, fallback, and reliability layer for inference workloads across multiple model providers Run cost engineering for the platform — per-tenant attribution , budgets , and optimisation of inference and infrastructure spend Establish observability that lets on-call engineers reason about agent behaviour , not just request timing Own the CI/CD pipeline that protects production deploys, with quality and regression gates Establish the compliance baseline for regulated enterprise customers — secrets , PII handling , audit trails Qualities Significant production experience running Kubernetes at meaningful scale Multi-tenant SaaS architecture background, with a clear view on isolation and pooling trade-offs Hands-on experience operating across both public and private cloud environments Strong database skills — replication, indexing, partitioning, tuning IaC fluency and configuration-level networking depth ( ingress, mTLS, service mesh, DNS ) — debugged, not just read about Articulated view on when to use managed services and when to self-host , grounded in both Track record of shipping production work with AI in your daily loop , and reviewing what it produces Real-time audio infrastructure ( SIP / WebRTC / RTP ), inference cost optimisation , or banking / fintech compliance is a plus Fluent in English (B2) and Polish (C1) ; other languages are a plus Why join us Visible impact — your engineering decisions land in real customer experience , not in roadmap slides Real ownership — few layers between you and production, and close work with engineering leadership and founders AI-first workflow with company-paid tooling — Claude Code , model access , IDEs of your choice Flexible contract types ( B2B / Employment Contract ), work arrangements , and working hours Remote, hybrid or in-office — from a location of your choice Direct, low-bureaucracy, results-oriented culture ; no micromanagement Competitive salary , with an honest conversation about trajectory as Lekta scales

🏢 Summary: Technical Project Manager role leading end-to-end deployment of AI Agent solutions for Tier-1 enterprise clients. Responsible for managing complex backend integrations, aligning AI engineering teams with business stakeholders, and ensuring successful delivery under high-pressure conditions. The position focuses on enterprise-scale AI implementations within banking, telco, and insurance sectors. 🗂️ Requirements: 5+ years Technical Project Management experience in B2B enterprise software, AI, or complex IT infrastructure, Proven experience delivering high-stakes enterprise projects in Banking, Telco, or Insurance, PRINCE2 certification (Foundation or Practitioner), Expert knowledge of Agile and Scrum methodologies, Ability to apply Waterfall methodology when required, Ability to read technical documentation and discuss API integrations and AI logic, Fluent Polish (C1), Fluent English (C1), Expert proficiency in Jira and Confluence 📃 Skills: Jira, Confluence, Agile, Scrum, Waterfall, PRINCE2, APIs, AI, IT, Infrastructure, Polish, English 🏢 Description: Lekta AI | Kraków / Remote Founded in 2016 in Kraków, Poland, Lekta AI is a technological company working with major European banking, insurance , and telco enterprises. The company was set up with an ambitious goal of providing the best customer service in the world. Lekta stands out from the crowd of conversational AI companies because we combine technological expertise with domain-specific knowledge of the contact center industry veterans. Through the use of our proprietary conversational neurosymbolic engine and backend integrations, our systems are intent, and context-aware, handling over 1.5 million conversations every month . We are currently in a phase of rapid international expansion and are looking for a resilient, high-stakes Technical Project Manager to lead the implementation of our Agent solutions for our most prestigious enterprise clients. The Role: As a Project Manager at Lekta AI, you aren't just moving tickets in Jira; you are the field commander for our most complex client integrations. You will be the primary bridge between our sophisticated AI engineering teams and the demanding requirements of Tier-1 enterprise stakeholders. This role requires a "steady hand at the wheel"—someone who can navigate technical bottlenecks and tight deadlines without losing focus. Key Responsibilities: ● Lead the full project lifecycle of Agent deployments, from initial technical discovery and backend integration to go-live and post-launch optimization. ● Serve as the primary point of contact for enterprise clients. Proactively identify risks, manage expectations, and maintain project momentum during complex integration phases. ● Orchestrate multidisciplinary squads (Engineers, AI Researchers, UX/UI Designers) to ensure delivery remains on track and within scope. ● Refine and scale our delivery framework. We value "repeatable excellence"—you will help build the playbooks that allow us to scale internationally. ● Use Jira, Confluence, and other PM tools to maintain meticulous documentation and resource allocation. ● Translate complex AI concepts into business value for clients, and turn client business requirements into actionable technical tasks for the dev team. Requirements: ● 5+ years in Technical Project Management, specifically within B2B enterprise software, AI, or complex IT infrastructure projects. ● A proven track record of managing high-pressure, high-stakes projects for demanding clients (Banking, Telco, or Insurance). You stay calm when the "unexpected" happens. ● Certification: PRINCE2 (Foundation or Practitioner) is highly desirable and will give you a significant advantage. ● Expert-level knowledge of Agile/Scrum, with the flexibility to apply Waterfall principles when enterprise compliance requires it. ● Technical Literacy: You must be comfortable reading technical documentation and discussing API integrations or AI logic with architects. ● Fluent Polish and English (C1) are mandatory. You must be able to lead high-level meetings in both languages. ● Expert proficiency in Jira, Confluence, or similar project management ecosystems. Why Join Us: ● Competitive salary. ● Flexible contract types ( B2B/UoP ), work arrangements, and working hours. ● Work remotely , in-office, or from a location of your choice. ● Direct, low-bureaucracy, results-oriented culture. ● Opportunity to shape the future of conversational AI in a key scaling stage . ● Ownership and independence – we value specialists who take full accountability. ● High potential in shaping your own career path as we expand internationally.

🏢 Summary: Mid Full Stack Engineer role focused on building and improving AI-powered enterprise products across frontend and backend systems. The position involves developing web applications, APIs, and production features using modern technologies while collaborating closely with cross-functional teams. Candidates will work with AI development tools and contribute to scalable, high-quality software in a fast-growing environment. 🗂️ Requirements: 2–5 years of experience building production web applications, Knowledge of React, Knowledge of TypeScript or another modern frontend framework, Experience building backend services, Experience building REST APIs, Familiarity with testing and version control, Understanding of web application architecture, Understanding of client-server communication, Problem-solving skills, Attention to code quality, Strong communication skills, Experience using AI development tools, Willingness to collaborate across engineering, product, and design teams 📃 Skills: React, TypeScript, REST, Git, GitHub, Copilot, Claude, ChatGPT, Python, Node.js, AWS, GCP, Azure, Docker, CI/CD 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with complex business tasks. We solve this problem by building a platform that understands company knowledge, policies, processes, and workflows, enabling AI to make reliable decisions instead of simply generating answers. Our technology helps businesses automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just a few seconds. Our mission is simple: to give people better answers everywhere. About the Role We are looking for a Mid Full Stack Engineer who enjoys building products and solving real user problems. In this role, you'll work across both the frontend and backend, collaborating closely with engineers, product managers, and designers to deliver new features and improve existing ones. You'll have the opportunity to work with modern AI technologies, contribute to production systems, and grow your technical skills in a fast-moving environment. If you enjoy learning, shipping high-quality software, and working on products used by enterprise customers, we'd love to hear from you. Responsibilities - Build and maintain product features across both frontend and backend. - Develop user interfaces using modern frontend technologies. - Build and extend backend APIs and business logic. - Collaborate with engineers, product managers, and designers to implement new functionality. - Improve application performance, reliability, and usability. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Help monitor production systems and improve features based on user feedback and product data. - Use AI development tools to improve productivity and software development workflows. Requirements - 2–5 years of experience building production web applications. - Good knowledge of React, TypeScript, or another modern frontend framework. - Experience building backend services and REST APIs. - Familiarity with modern software engineering practices, testing, and version control. - Understanding of web application architecture and client-server communication. - Good problem-solving skills and attention to code quality. - Strong communication skills and willingness to collaborate across engineering, product, and design teams. - Experience using AI tools such as GitHub Copilot, Claude Code, ChatGPT, or similar in day-to-day development. - Curiosity, ownership of your work, and a desire to continuously learn. Nice to Have - Experience with Python, Node.js, or both. - Experience working on AI-powered products or LLM integrations. - Familiarity with cloud platforms (AWS, GCP, or Azure). - Knowledge of Docker, CI/CD, or modern deployment workflows. - Understanding of performance optimization and accessibility best practices. What We Offer - B2B contract. - Company stock options. - MacBook Pro for work. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on real AI products used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - The chance to grow your career alongside experienced engineers in a fast-growing AI company. Why Join Us Our leadership team brings deep experience in AI and knowledge management. We've raised over $60 million in funding and achieved three consecutive years of 3× growth. We believe great products are built by great teams, and our culture is shaped by these values: - Quality - We care about craftsmanship and building software that lasts. - Momentum - We move quickly, iterate often, and continuously improve. - Accountability - We take responsibility for our work, communicate openly, and support one another. - Hard Work - We believe ambitious goals require dedication and teamwork. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We succeed by collaborating, sharing knowledge, and helping each other grow.

🏢 Summary: Remote-first AI-First Fullstack Engineer role focused on building and maintaining full-stack applications while deeply integrating AI tools into the development workflow. The position emphasizes advanced use of AI coding assistants, agent-based workflows, and structured AI planning alongside strong backend and frontend engineering skills. Engineers contribute to architecture, code quality, and continuous improvement of AI-augmented practices. 🗂️ Requirements: 3+ years commercial experience with .NET and C#, Experience building REST APIs, middleware, and authentication flows (OAuth 2.0, OpenID Connect, JWT), Hands-on experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor or equivalent), Understanding of AI agents and sub-agents and their composition, Experience creating or using custom AI skill definitions, Familiarity with AI planning workflows for structured implementation plans, Ability to perform prompt engineering and critically evaluate AI outputs, Experience configuring project-level AI instructions (e.g., copilot-instructions.md, CLAUDE.md), Solid proficiency in JavaScript and TypeScript, Practical experience with React or Angular, Experience with SQL databases and ORMs, Knowledge of CI/CD pipelines, Experience with Docker, Fluent English communication for technical collaboration 📃 Skills: .NET, C#, REST, OAuth2, OpenID, JWT, SQL, ORM, NoSQL, JavaScript, TypeScript, React, Angular, Python, Java, Node.js, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, CI/CD, DDD, CQRS 🏢 Description: We are looking for an AI-First Fullstack Engineer who is actively building a real AI-augmented development practice — not just using autocomplete. You will work across varied client engagements, contribute to meaningful technical decisions, and be expected to grow quickly in an environment that takes AI tooling seriously. This is a role for engineers who are intentional about how they use AI and want to develop that skill alongside their core technical craft. We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions. Responsibilities Develop and maintain full-stack features with attention to quality, performance, and reliability Apply AI tools actively throughout your workflow: generation, refactoring, review, testing, and research Participate in architectural and design discussions — contribute ideas, ask good questions, and learn from senior engineers Write clean, reviewable code and actively engage in code reviews Communicate clearly with the team and client stakeholders in English Flag risks, blockers, and technical concerns early Continuously refine your AI workflow and share learnings with the team AI-First Requirements Must have: Hands-on experience with Claude Code, GitHub Copilot, Cursor, or equivalent AI coding assistants Understanding of agents and sub-agents: what they are, how they are composed, and when to use them Experience with custom skills: creating or using reusable AI skill definitions that extend tool capabilities beyond defaults Familiarity with AI planning workflows: using AI to generate structured implementation plans (e.g. task breakdowns, step-by-step plans stored as files or tickets) before generating code Prompt engineering sufficient to produce reliable, high-quality output; ability to critically evaluate and override AI suggestions when needed Experience building or configuring project-level AI instructions (e.g. copilot-instructions.md , CLAUDE.md , or similar) to shape agent behavior at the repo level Nice to have: Awareness of how AI tools fit into different SDLC phases: requirements analysis, design, implementation, code review, testing, and documentation — not just code generation Practical experience orchestrating multiple AI agents in parallel for concurrent task execution Familiarity with agentic loop patterns: tool use, reflection, iterative self-correction Technical Requirements 3+ years of commercial experience with .NET / C# — REST APIs, middleware, dependency injection, authentication flows: OAuth 2.0, OpenID Connect, JWT SQL databases and ORMs; NoSQL familiarity is a plus Additional experience in Python, Java, or Node.js is a plus Solid proficiency in JavaScript and TypeScript Practical experience with React (preferable) and/or Angular Familiarity with state management, async patterns, and frontend testing basics Comfortable working on both monolithic and service-oriented codebases Awareness of DDD, CQRS concepts (hands-on experience is a plus, not required) Basic familiarity with message-driven or event-driven patterns Docker fundamentals; basic Kubernetes awareness is a plus CI/CD: GitHub Actions, Azure DevOps, or similar Cloud exposure: Azure, AWS, or GCP Basic observability: structured logging, understanding of tracing concepts Salary ranges B2B 110 - 136 PLN/ hour EC 14500 - 17800 PLN/ month

🏢 Summary: Senior Full Stack Engineer role focused on building and owning end-to-end product features for an AI-driven platform that automates complex business processes. The position involves developing frontend and backend solutions, designing APIs, improving performance and usability, and leveraging AI tools in daily engineering work. The role is office-based in Warsaw and requires strong product thinking and production-level experience. 🗂️ Requirements: Senior-level experience building production web applications, Strong knowledge of React and TypeScript or similar frontend framework, Experience designing and developing backend APIs and application logic, Ability to build and maintain frontend and backend features end-to-end, Experience working with production environments and monitoring released features, Daily use of AI tools for development and problem-solving, Strong understanding of code quality, testing, and long-term ownership 📃 Skills: React, TypeScript, JavaScript, API, REST, Node.js, Python, GitHub, Copilot, Claude, OpenAI, Codex, TypingMind, MCP, AI 🏢 Description: About Us Many companies want to use AI agents, but these agents often have problems with complex business tasks. We help solve this issue. Our platform understands company rules, processes, and workflows, so AI can make better decisions instead of only giving simple answers. This allows businesses to use AI that is accurate, follows company policies, and can be trusted. Well-known companies use our technology to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that used to take hours in just a few seconds. We work with leading technology partners and have received industry recognition for our innovative approach. Our mission is to give people better answers everywhere. About the Role We are looking for a Senior Full Stack Engineer with strong product thinking. In this role, you will own features from start to finish. You will understand user needs, plan solutions, build frontend and backend functionality, release new features, and improve them based on user feedback. You should feel comfortable working on user interfaces, APIs, and production quality while collaborating with product and design teams. Location: Warsaw (office-based). Responsibilities Build and deliver product features across both frontend and backend. Turn product ideas into practical and effective solutions. Work with user interfaces, business logic, APIs, and data flows. Cooperate closely with product managers and designers, even when requirements are still developing. Improve usability, performance, reliability, and overall user experience. Monitor released features and use production data to make improvements. Use AI tools every day to work faster and improve engineering processes. Maintain high standards for code quality, testing, and long-term ownership. Requirements Strong experience as a senior engineer building production web applications. Good knowledge of React, TypeScript, or a similar modern frontend framework. Experience designing and developing backend APIs and application logic. Strong product mindset with the ability to identify and improve weak user experiences. Good decision-making skills when balancing scope, speed, and technical quality. Clear communication and teamwork across engineering, product, and design. Daily experience using AI tools for development and problem-solving. Nice to Have Experience building AI-powered products such as chat, search, recommendation systems, workflows, or AI agents. Knowledge of Python, Node.js, or both. Experience owning product areas independently. Understanding of performance optimization, accessibility, and high-quality web applications. What We Offer B2B contract and company stock options. MacBook Pro for work. Modern technology stack with opportunities to contribute to open-source projects. Advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. Why Join Us Our leadership team has strong experience in knowledge management and AI. We have raised more than $60 million in funding and achieved three years of continuous 3x growth. Our work is guided by these core values: Quality: We aim for excellent craftsmanship and high standards in everything we build. Momentum: We take initiative and keep projects moving forward. Accountability: We take responsibility, give honest feedback, and support each other. Hard Work: We believe difficult goals require dedication and teamwork. Learning Agility: We stay curious, learn from mistakes, and keep improving. Adapt and Thrive: We accept change and see challenges as opportunities. Win Together: We succeed as a team through honesty, openness, and shared commitment.

🏢 Summary: The offer is for a Senior AI Fullstack Engineer to design and deliver production-ready, LLM-powered web applications using modern React and Next.js architecture. The role focuses on building autonomous agents, RAG systems, and AI-driven workflows integrated with enterprise-grade products. It involves end-to-end ownership of scalable AI solutions from architecture to deployment. 🗂️ Requirements: 8+ years experience as consultant or forward deployed engineer, Strong experience with Next.js (App Router), React, TypeScript, Deep understanding of Server and Client Components (RSC), Experience with streaming, caching, revalidation, Server Actions, Experience with Vercel AI SDK, LangGraph or MCP, Experience building RAG systems, Hands-on experience with Anthropic and OpenAI APIs, Experience shipping LLM-powered features to production, Practical experience with prompt engineering and structured outputs, Experience with tool calling and agent workflows, Experience with multi-turn orchestration, Understanding of token economics and context windows, Experience with prompt evaluation methods, Ability to design robust, production-ready AI systems 📃 Skills: Next.js, React, TypeScript, RSC, Vercel, LangGraph, MCP, RAG, Claude, OpenAI, Anthropic, Prompting, Streaming, ServerActions, Agents, APIs 🏢 Description: About the Role At Blazity, we are a team of React.js and Next.js experts building modern, API-first digital products for enterprise clients. We are expanding our AI capabilities—autonomous agents, AI-driven automation, and LLM-powered workflows—and are looking for a Senior AI Fullstack Engineer who can design and ship production-ready AI systems. You will work at the intersection of modern web architecture and generative AI , taking ownership of solutions delivered to real users. Our requirements Must-have Technical Excellence: 8+ years of experience as a consultant / forward deployed engineer Strong experience with Next.js (App Router), React, TypeScript Deep understanding of: Server vs Client Components (RSC) streaming, caching, revalidation, Server Actions Vercel AI SDK / LangGraph / MCP Experience building RAG systems Claude extended thinking / prompt caching / Batch APIs AI Engineering: Proven experience shipping LLM-powered features to production Hands-on with Anthropic / OpenAI APIs (messages, tool use, streaming) Practical experience with: prompt engineering (structured output, few-shot, XML) tool calling / agent workflows multi-turn orchestration Understanding of: token economics (input/output costs, context window) latency vs quality trade-offs Reliability & Quality: Experience with: prompt evaluations (LLM-as-judge, rule-based) handling hallucinations and failure modes Ability to design robust AI systems , not just prototypes Soft Skills: Strong ownership mindset Experience working directly with clients Clear communication and structured thinking (English C1) Ability to make decisions in ambiguous environments Nice-to-have: What You Will Do Ship Production Apps: Build scalable web applications using Next.js (App Router) and TypeScript , ensuring high performance and clean architecture. Engineer AI Workflows: Develop and orchestrate LLM-powered features using Anthropic and OpenAI APIs, focusing on tool use and streaming. Agentic Orchestration: Design autonomous agent loops and multi-turn workflows, knowing when to use a structured pipeline versus a dynamic agent. Optimize & Evaluate: Manage token economics (pricing, context windows) and implement prompt evaluations (LLM-as-judge, rule-based) to ensure system reliability. Collaborate: Work directly with senior engineers, founders, and client teams to shape AI capabilities from concept to production. What we offer B2B: 120 – 180 PLN/h + VAT 🔥 100% remote (Poland) 29 paid vacation days Private healthcare + sports card High-impact work on real AI systems

🏢 Summary: The offer is for a Software Engineer (Agent Development) role focused on building and scaling production-ready AI agents and autonomous marketing workflows. The position combines strong backend engineering with applied GenAI, emphasizing reliable, scalable systems integrated into a live marketing automation platform. The role involves working with LLM orchestration, backend services, and AI-driven integrations in a fast-paced, collaborative environment. 🗂️ Requirements: 2–4 years of software engineering experience, Strong experience in Python and scalable backend development, Understanding of building production-ready, maintainable systems, Interest in AI, GenAI, and agentic systems, Experience with backend databases such as MySQL, Redis, or DynamoDB, Ability to work in fast-paced, iterative environments, Strong problem-solving skills, Ability to collaborate with cross-functional and distributed teams 📃 Skills: Python, GenAI, LLM, MySQL, Redis, DynamoDB, APIs, CI/CD, Cloud, AI, Agents 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Agent Development) to join our client’s growing AI team and help build the next generation of autonomous AI agents powering modern marketing workflows. In this role, you’ll work at the intersection of backend engineering and applied AI, designing and scaling production-ready agentic systems used by businesses worldwide. This is not a pure research role. The focus is on strong software engineering fundamentals and building reliable, scalable AI-powered products. You’ll work across backend systems, orchestration, integrations, and AI workflows, collaborating closely with cross-functional product and engineering teams. The environment is fast-paced and highly collaborative, with a strong emphasis on ownership, rapid iteration, and building real-world AI solutions already running in production. Key takeaways: Stack: Python, AI Agents, MySQL, GenAI Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical interview, live coding (1h) Cross-functional interview (1h) Interview with Hiring Manager (45 min) | Optional Responsibilities: Design and develop production-grade AI agents and autonomous marketing workflows across the platform. Build and maintain multi-step agentic systems involving LLM orchestration, tool usage, and backend integrations. Work with LLM APIs, including prompt engineering, response handling, evaluation, and optimization of AI workflows. Create and improve evaluation frameworks, quality metrics, and monitoring processes to ensure agent reliability and performance at scale. Monitor and optimize agent behavior, latency, token usage, cost efficiency, and production stability. Develop production-quality backend services and orchestration layers primarily using Python. Contribute to backend and frontend integration points where AI agents interact with the core platform. Build and maintain APIs, service interfaces, and data flows supporting AI-driven capabilities. Collaborate closely with Product, Design, and Engineering teams to define and deliver AI-powered user experiences. Ensure code quality through testing, code reviews, and adherence to engineering best practices. Participate in on-call rotations supporting AI agent services and platform reliability. Contribute to technical documentation, architectural decisions, and AI engineering best practices. Collaborate closely with globally distributed teams, including regular overlap with US-based stakeholders. Requirements: 2–4 years of experience in software engineering, with strong backend development fundamentals. Strong hands-on experience with Python and building scalable backend services. Interest in AI, GenAI, and agentic systems, with a willingness to grow in this area professionally. Exposure to AI-related projects, LLM-based solutions, ML models, or personal AI experiments is considered a strong plus. Understanding of how to build reliable, maintainable, and production-ready systems. Ability to work in fast-paced, iterative environments and ship code quickly while maintaining engineering quality. Familiarity with modern backend and database technologies such as MySQL, Redis, or DynamoDB. Strong problem-solving skills and the ability to work across different systems and technologies. Experience with cloud environments, APIs, CI/CD practices, or observability tooling is a plus. Familiarity with AI agent frameworks, prompt engineering, or LLM workflows is nice to have, but not required. Strong communication skills and a collaborative mindset within cross-functional engineering teams. Willingness to collaborate with globally distributed teams, including regular overlap with US-based stakeholders. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Engineering role focused on designing, building, and optimizing AI-driven microservices that power a conversational marketplace assistant. The position involves LLM orchestration, Retrieval-Augmented Generation, semantic search, and high-performance retrieval in a cloud-native environment. You will own end-to-end development of AI services across Java/Kotlin and Python ecosystems, ensuring scalability, low latency, and high availability. 🗂️ Requirements: Proficiency in Python, Proficiency in Java, Proficiency in Kotlin, Experience with LLM orchestration, Experience with Retrieval-Augmented Generation (RAG), Experience with semantic search and vector search, Experience building microservices, Experience with cloud-native architectures, Ability to design and optimize high-availability systems, English level B2 or higher 📃 Skills: Python, Java, Kotlin, Spring, ADK, LangChain, Langfuse, LLM, RAG, LoRA, PEFT, AutoGen, CrewAI, Kubernetes, Docker, Consul, GitHub, GitHubActions, VectorSearch, Embeddings 🏢 Description: About the job: Performance & Scale: Design, build, and optimize AI-driven systems that process complex natural language interactions. Delivering low-latency, high-quality responses from our AI Assistant requires high-availability and smart optimization of LLM and retrieval workloads in practice. Modern Tech Stack: Work with a world-class, cloud-native polyglot environment. Our core backend technologies include Java , Kotlin , Spring, and ADK . At the same time, our AI and orchestration layer heavily relies on Python . You will utilize Python and LangChain for complex LLM orchestration, alongside Langfuse for observability, prompt tracking, and evaluation. We leverage advanced vector search and modern ML solutions to make our assistant truly smart. True Ownership & Autonomy: We live by a "you build it, you run it" philosophy. You'll join an agile, autonomous team with full ownership of your AI microservices and data pipelines, from design to deployment; and improvements are dictated by results of our own experiments and AI evaluation metrics. Complex Challenges: From LLM orchestration and Retrieval-Augmented Generation (RAG) to semantic search optimization, you'll tackle the complex backend problems that power a conversational marketplace assistant. You will work across the Java/Kotlin and Python ecosystems, integrating advanced embedding models, prompt pipelines, and vector databases to ensure our AI deeply understands and accurately retrieves information. In our domain, we focus on delivering the core search and retrieval capabilities for the Allegro AI Assistant. We maintain a critical entry point for users looking to discover products, compare offers, and get personalized recommendations through natural conversations. Striving for relevancy and accuracy first, we are designing, implementing, and operating an extensive system combining modern microservice architecture with Large Language Models, high-performance retrievers, and vast data sources. We care about data quality, robust context building, and near real-time accuracy to best guide users through a highly dynamic marketplace via an intelligent, conversational interface. Important things for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost): PLN 14 200 - 20 200 Annual bonus based on your annual performance and company results. Our team is based in Poznań. We are looking for people who: Code in Python, Java and Kotlin ; Expect work that requires creative approach to search experience challenges, to be proud of enjoying its results together with all Allegro users; Want to create solid code, eagerly accept comments and share knowledge during code reviews; Can look for effective solutions to the requirements set by users; Want to constantly develop and update their knowledge; Know English at at least B2 level. Nice to have: You are open to diverse technologies and workflows, including dev-operational tools on one hand, and working with data on the other. Basic experience with LLM tuning (LoRA, PEFT), training and evaluation pipelines for models and/or basic frameworks for building AI Agents (Agent Development Kit, LangChain, AutoGen, CrewAI) would be great! What's in it for you: Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: Engineering role focused on building and scaling AI-powered backend services for CKEditor 5, integrating LLM providers to deliver intelligent text processing features. The position involves designing production-grade APIs, real-time streaming, and event-driven architectures using TypeScript and Node.js. It combines AI integration with robust backend development in a multi-service environment. 🗂️ Requirements: 5+ years of software development experience, Strong proficiency in TypeScript, Strong proficiency in Node.js, Experience building REST APIs, Experience with PostgreSQL, Experience with message queues, Experience with Docker, Experience developing backend services, Fluency in Polish (C1 minimum), Good command of English (B2 minimum) 📃 Skills: TypeScript, Node.js, PostgreSQL, Docker, REST, OpenAI, Anthropic, Gemini, AWS, SQS, SNS, S3, ECR, WebSockets, Streaming, OpenTelemetry, LLM, AI 🏢 Description: We are the company behind CKEditor — an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration. Your role: As an Engineer on our AI team, you will drive the evolution of AI capabilities powering CKEditor 5 — working at the intersection of AI and content creation, where LLMs meet their most natural application: text processing. You'll design prompt strategies, integrate models from providers like OpenAI, Anthropic, and Google Gemini, and build intelligent features such as contextual text predictions, automated content generation, and advanced text processing. Check out what we've built so far at https://ckeditor.com/ckeditor-5/demo/ai and imagine where you could take it next. Our core stack is TypeScript and Node.js. We're looking for an engineer with genuine passion for AI and a solid backend foundation — someone who can build production-grade services, not just prototypes, and who balances cutting-edge innovation with robust implementation. Key Responsibilities: Design, build, and maintain backend services for CKEditor 5 - including REST APIs, real-time streaming, event-driven processing, and data persistence. Build and maintain a multi-service architecture with message queues, caching, and async communication patterns. Engage in code reviews, pair programming, and cross-functional collaboration to ensure the highest quality results. Write clean, maintainable, and well-structured code, balancing readability with appropriate documentation. Share best practices on programming standards, tools, and processes to foster continuous improvement. To be successful in this role you need the following: Over 5 years of software development experience. Strong proficiency in TypeScript and Node.js. Experience building and maintaining backend services - REST APIs, relational databases (PostgreSQL), message queues, Docker. Fluency in Polish (minimum C1) and good command of English (minimum B2) Excellent problem-solving skills and the ability to think critically and creatively. Outstanding communication skills, both verbal and written. Nice to have: Experience integrating third-party APIs (LLM providers, external services). Understanding of AI/LLM concepts - prompt engineering, function/tool calling, streaming. Experience with cloud infrastructure (AWS - SQS/SNS, S3, ECR). Familiarity with observability tools (OpenTelemetry, tracing) Curiosity about AI and willingness to learn how LLMs work. Experience with event-driven architectures and real-time data processing (streaming, WebSockets, or similar). Why join CKSource: Our people are a huge part of what makes CKSource a great place to work! Aside from a great team, some of our benefits include: B2B contract-based monthly remuneration is 27.000 - 32.000 PLN + VAT or its equivalent on the employment contract. Quarterly and annual financial bonuses depending on the company’s performance. Flexible schedule and the possibility to work fully remotely. Professional development resources (up to 5 days of additional leave and 6 000 PLN yearly). LinkedIn Learning access. Extra leave for Tiugo Day - our company’s foundation day and your birthday. English lessons with a native speaker and an online language platform where you can learn English, Spanish, and German. Access to a mental health and well-being platform with 24/7 dedicated psychological support. Private medical care (Enel Med or Medicover) and Multisport card. 2 weeks of paid parental leave for our contractors. Recruitment process HR interview. Technical interview with Jacek Bogdański (Engineering Manager). Interview with Bartek Czerwonka (Senior Director of Engineering).

🏢 Summary: The role focuses on designing, building, and optimizing AI-driven backend systems that power a large-scale conversational assistant with low-latency, high-availability requirements. You will work across Java/Kotlin and Python ecosystems to implement LLM orchestration, RAG pipelines, and semantic search solutions within a cloud-native microservices architecture. The position involves full ownership of AI microservices and data pipelines from design to deployment in a production-scale environment. 🗂️ Requirements: Proficiency in Python, Proficiency in Java, Proficiency in Kotlin, Experience with LLM orchestration and RAG, Experience with microservices architecture, Experience with vector search and semantic search, Experience with cloud-native environments, Ability to design and optimize high-availability, low-latency systems, English level B2 or higher 📃 Skills: Python, Java, Kotlin, Spring, ADK, LangChain, Langfuse, LLM, RAG, Kubernetes, Docker, Consul, GitHub, GitHubActions, VectorSearch, Microservices 🏢 Description: About the job: Performance & Scale: Design, build, and optimize AI-driven systems that process complex natural language interactions. Delivering low-latency, high-quality responses from our AI Assistant requires high-availability and smart optimization of LLM and retrieval workloads in practice. Modern Tech Stack: Work with a world-class, cloud-native polyglot environment. Our core backend technologies include Java , Kotlin , Spring, and ADK . At the same time, our AI and orchestration layer heavily relies on Python . You will utilize Python and LangChain for complex LLM orchestration, alongside Langfuse for observability, prompt tracking, and evaluation. We leverage advanced vector search and modern ML solutions to make our assistant truly smart. True Ownership & Autonomy: We live by a "you build it, you run it" philosophy. You'll join an agile, autonomous team with full ownership of your AI microservices and data pipelines, from design to deployment; and improvements are dictated by results of our own experiments and AI evaluation metrics. Complex Challenges: From LLM orchestration and Retrieval-Augmented Generation (RAG) to semantic search optimization, you'll tackle the complex backend problems that power a conversational marketplace assistant. You will work across the Java/Kotlin and Python ecosystems, integrating advanced embedding models, prompt pipelines, and vector databases to ensure our AI deeply understands and accurately retrieves information. In our domain, we focus on delivering the core search and retrieval capabilities for the Allegro AI Assistant. We maintain a critical entry point for users looking to discover products, compare offers, and get personalized recommendations through natural conversations. Striving for relevancy and accuracy first, we are designing, implementing, and operating an extensive system combining modern microservice architecture with Large Language Models, high-performance retrievers, and vast data sources. We care about data quality, robust context building, and near real-time accuracy to best guide users through a highly dynamic marketplace via an intelligent, conversational interface. Important things for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost): PLN 14 600 - 20 825 Annual bonus based on your annual performance and company results. Our team is based in Poznań. We are looking for people who: Code in Python, Java and Kotlin ; Expect work that requires creative approach to search experience challenges, to be proud of enjoying its results together with all Allegro users; Want to create solid code, eagerly accept comments and share knowledge during code reviews; Can look for effective solutions to the requirements set by users; Want to constantly develop and update their knowledge; Know English at at least B2 level. Nice to have: You are open to diverse technologies and workflows, including dev-operational tools on one hand, and working with data on the other. Basic experience with LLM tuning (LoRA, PEFT), training and evaluation pipelines for models and/or basic frameworks for building AI Agents (Agent Development Kit, LangChain, AutoGen, CrewAI) would be great! What's in it for you: Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!