AI Assisted Engineer

🏢 Summary: Backend engineering role focused on building scalable Python services and APIs for an AI platform used by enterprise customers. The position involves developing production backend systems, integrating AI components, and improving reliability in a collaborative engineering environment. Offers modern AI tooling, cloud-native development exposure, and growth opportunities within an AI-focused product team. 🗂️ Requirements: 2–5 years of backend application development experience, Python, REST APIs, Backend services, SQL, PostgreSQL, Asynchronous programming, Background job processing, AWS, Azure, GCP, Testing, Version control, AI development tools, English B2 📃 Skills: Python, FastAPI, Django, PostgreSQL, SQL, AWS, Azure, GCP, Docker, Redis, RabbitMQ, Kafka, TypeScript, REST, Git, CI/CD, ChatGPT, Copilot, Codex, Claude 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with real business tasks. We solve this problem by building a platform that helps AI understand business rules, workflows, and processes. This enables AI to make better decisions and provide accurate, reliable, and trustworthy results. Our technology is used by leading companies across multiple industries to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just seconds. We work with leading technology partners and have been recognized for our innovative approach. Our mission is to help people everywhere get better answers through AI. About the Role We are looking for a Mid Backend Engineer to help build scalable backend services that power our AI platform. You'll work closely with experienced backend engineers, frontend developers, product managers, and platform engineers to develop new features, improve existing systems, and deliver reliable production software. This is a great opportunity to work on modern AI infrastructure while growing your technical skills in a collaborative engineering environment. Responsibilities - Build and maintain backend services, APIs, and background processing systems. - Develop scalable application logic using Python. - Collaborate with product managers and engineers to deliver new product features. - Integrate backend services with databases, external APIs, and AI components. - Monitor, troubleshoot, and improve production services. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Improve development workflows using AI tools and automation. - Continuously learn from production feedback and contribute to improving system reliability and performance. Requirements - 2–5 years of experience building production backend applications. - Good knowledge of Python. - Experience building REST APIs and backend services. - Understanding of relational databases (PostgreSQL or similar) and SQL. - Familiarity with asynchronous programming and background job processing. - Basic understanding of cloud platforms such as AWS, Azure, or GCP. - Understanding of software engineering best practices, testing, and version control. - Good communication skills and willingness to collaborate across engineering and product teams. - Experience using AI development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar. - English at B2 level or higher. Nice to Have - Experience with FastAPI, Django, or similar Python frameworks. - Experience working with Docker and CI/CD pipelines. - Familiarity with Redis, RabbitMQ, Kafka, or similar messaging technologies. - Experience building AI-powered applications or integrating LLM APIs. - Basic knowledge of TypeScript or frontend development. - Interest in distributed systems and cloud-native architectures. What We Offer - 20,000–24,000 PLN B2B (depending on experience). - Company stock options. - MacBook Pro. - 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 production AI systems used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - Career growth alongside experienced engineers in a fast-growing AI company. Our Culture and Values - Quality - We build reliable software with attention to detail and long-term maintainability. - Momentum - We move quickly, learn continuously, and improve through iteration. - Accountability - We take responsibility for our work and communicate openly. - Hard Work - We solve ambitious problems together and support each other along the way. - 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 collaborate, share knowledge, and succeed as one team.

🏢 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: Forward Deployment Engineer role focused on embedding with clients to scope, build, and ship production-ready AI systems while contributing reusable assets to an internal AI platform. The position combines client delivery, pre-sales, and hands-on development, with ownership from discovery through production. It requires strong consulting capabilities and deep expertise in AI system design and deployment. 🗂️ Requirements: 5+ years of professional experience in software engineering, 3+ years hands-on experience building and shipping AI-assisted systems, 2+ years in client-facing consulting or pre-sales engineering role, End-to-end ownership: discovery, scoping, build, production, handoff, Experience running discovery workshops and gathering requirements, Ability to translate business needs into technical scope, Experience designing and deploying AI systems to production, Experience integrating with client systems and SaaS platforms, Experience with cloud deployment and security reviews, Fluency in Polish (B2+) and English (B2+) 📃 Skills: Python, TypeScript, LLMs, Claude, GPT, RAG, MCP, REST, iPaaS, CRM, BI, Cloud 🏢 Description: Description Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive, and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full-time employee, great! We want to create the right opportunities for you. Over the past ten years, Netguru has changed the way people bank, listen to music, learn languages, and rent bicycles. Some of their clients include Fortune 500 companies and startups like or . Netguru works with the largest brands in the world, such as , or . As the Forward Deployment Engineer you will sit at the intersection of client delivery, pre-sales, and internal AI tooling. You embed with a client (or an internal Netguru team), translate ambiguous problems into a defensible technical scope, and ship working AI systems to production - fast. Half of your time goes back into Netguru: every reusable pattern you spot in the field becomes a skill, agent, or MCP inside NetguruOS. This is a builder role, not an advisory one. Proof of work is a running system - not a deck. Salary: from 20000PLN net on B2B contract + 20 paid days off or from 16700PLN gross on Contract of Employment What you'll do: Client engagements: Embed temporarily into the team that owns the problem — client engineering org or internal Netguru team. Run discovery with stakeholders from CTO down to end-user. Run workshops, uncover requirements, clarify business needs, and translate ambiguous pain into a written technical scope you can defend. Analyze customer processes, identify bottlenecks, and propose digital or AI-driven improvements. Lead pre-sales on AI opportunities — scope, price, propose, close. Act as a trusted advisor, challenging assumptions and recommending better technical, product, or process approaches when appropriate. Communicate effectively with both technical and non-technical stakeholders, translating complex AI and engineering concepts into clear business language. Work comfortably within client environments, adapting to their tools, security requirements, workflows, governance models, and decision-making structures. Take ownership of outcomes, ensuring solutions deliver measurable business value, adoption, and long-term impact. Build Prototype in days, not weeks — working software, not slides. Write production-grade Python or TypeScript (or whatever the client runs). Ship AI-enabled workflows: copilots, agents, RAG systems, automation, internal tooling. Integrate with the client's existing stack. Design solutions that are not only technically sound but also usable, reliable, and aligned with real user workflows. Stand up evals, observability, and guardrails before going live. Own the path to production: security review, procurement, change management. Identify opportunities where AI can improve processes, reduce manual effort, accelerate decision-making, or create new product capabilities. Build internally (≈50% of the role) Extend Netguru's internal AI platform with new agents, MCPs, and skills based on field learnings Build enablement tooling for internal AI delivery teams — templates, runbooks, reusable skills Codify reusable client patterns back into NetguruOS Requirements Experience 5+ years total, including 3+ years hands-on building and shipping AI-assisted systems. 2+ years in a client-facing consulting or pre-sales engineering role. Proven full-cycle ownership: discovery → scoping → build → production → handoff. Comfortable with both technical and business stakeholders in the same engagement. Strong understanding of business processes and the ability to translate operational challenges into practical software and AI solutions. Experience gathering requirements, facilitating discovery workshops, and transforming ambiguous business problems into actionable implementation plans. Understanding of AI adoption challenges, including data readiness, user trust, governance, compliance, change management, and operational integration. Communicative (B2+) Polish and English. Technical Production-grade Python and/or TypeScript — shipped systems, not scripts. LLM stack fluency (Claude, GPT, open-weight) — knows when to use which and why. AI system design: agents, RAG pipelines, copilots, MCP servers, sub-agents. Eval-driven development — defines success metrics before shipping, measures after. Integration experience: REST APIs, iPaaS, common SaaS (CRM, PM, BI). Cloud deployment, security reviews, change management. Consulting & communication Strong customer-facing mindset with the ability to understand stakeholder needs and translate them into practical software solutions. Translates ambiguous client pain into written technical scope — and defends it. Credible with a CEO and an engineer on the same day. Proposal writing and deal scoping for AI engagements. Senior stakeholder management without hand-holding. Ability to communicate AI concepts, architecture decisions, risks, trade-offs, and implementation options to non-technical audiences. Solution-oriented consulting approach focused on delivering business outcomes rather than simply implementing requested features. Mindset Builder by default — running system over recommendation deck. Stack-agnostic — picks the right tool, not the favorite one. Walks into chaos, imposes structure, delivers clarity. Ships in days, not weeks. Thinks beyond delivery and takes responsibility for customer adoption, feedback, iteration, and measurable business impact. Nice to have: Domain experience in Finance, Retail, or Supply Chain Public presence - conference talks, open-source, published writing on AI SDLC orchestration and multi-agent pipelines What success looks like (first 6–12 months) First AI engagement scoped, built, and delivered to production At least one reusable asset (agent skill, MCP, eval suite) shipped into NetguruOS Measurable time savings from internal tooling contributions Benefits Access to the WorkSmile platform offering benefits adapted to your preferences: Multisport card. Private health insurance package. Life insurance. Hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.). Discounts on Apple products. Support for your growth - a head/manager’s budget available to every employee. PLN 175 monthly lump sum (ryczałt) for remote employees (Contract of Employment) Various internal initiatives: webinars, knowledge-sharing sessions, . Don't hesitate and apply right away! At Netguru, we're committed to creating an inclusive environment for everyone. If you require any disability-related accommodations during the recruitment process, please let us know. We're here to help!

🏢 Summary: Backend-focused Product Engineer role focused on building and owning hospitality software end-to-end, from technical discovery to production support. The position emphasizes backend architecture, distributed systems, AI-augmented development, and close collaboration with Product Managers. Engineers are expected to take ownership of technical solutions, quality, and continuous system improvement in a fully remote environment. 🗂️ Requirements: Strong commercial experience with PHP, Experience with Laravel or Symfony, Experience designing microservices and REST APIs, Knowledge of event-driven systems, Experience with MySQL or MariaDB, Experience with MongoDB, Experience with Redis, Experience with Docker, Experience with Kubernetes, Experience with GitLab CI/CD, Hands-on use of AI development tools, Communicative Polish, Communicative English, Ability to own projects end-to-end, Experience with backend architecture and distributed systems 📃 Skills: PHP, Laravel, Symfony, MySQL, MariaDB, MongoDB, Redis, Docker, Kubernetes, GitLab, CI/CD, REST, CQRS, RabbitMQ, JavaScript, TypeScript, Node.js, Claude, Cursor, Microservices, EventSourcing 🏢 Description: The ability to build software is no longer rare. AI has made execution accessible to almost everyone. What's rare now is judgment — knowing what to build, why it matters, and what it takes to see it through to real customer impact. The role At Profitroom we build hospitality software used by thousands of hotels and millions of guests. Engineers own initiatives end-to-end: from understanding the business problem, through technical discovery, implementation, release, and production. The PM steers direction. You own the technical solution — all of it. Your technical home is backend development: data models, business logic, APIs, distributed systems. You step outside it when AI and established patterns make it practical. When something genuinely exceeds your range, you recognise the call and make it — but "genuinely" is the key word. "The builder drives; the PM steers." This is what we mean when we say Product Engineer. Not a title — a way of working. What you'll own Backend services - designed, built, tested, and shipped by you Technical discovery: validate feasibility, identify constraints, and shape the approach before scope is locked End-to-end quality: merged code is the beginning, not the end- you stay on standby through hypercare AI-augmented development: Claude Code is our daily driver- MCP servers, custom agents, and internal tooling are part of the real workflow Close collaboration with Product Managers - you own the how, they own the what and why Continuous improvement: you leave systems better than you found them You'll enjoy collaborating with us if You've shipped things that survived contact with real users — and when bugs appeared, they were yours to fix You get restless when you don't understand why something is being built before you start building it Owning a problem end-to-end feels more natural than executing a fully-specified ticket AI tools feel like a natural extension of how you think and work — not something you use because someone told you to You have opinions about what quality actually means, and your answer doesn't start with "the QA team" You can explain a technical trade-off to a product manager and a business rationale to a senior engineer You ask "is this worth building at all?" before diving into how to build it Bonus points: You have a side project — something you built for yourself, for real users, or just because you had to You use AI tools on your own account, not just when your employer provides them You've built or worked with Event Sourcing / CQRS in a production system You've built an MCP server or Claude Code agent for a real workflow Probably not for you if: You're most comfortable when everything is fully specified before you start You consider testing someone else's job, or something you do after the feature is done Your hands-on AI experience is mostly autocomplete and the occasional PR summary Technical expectations PHP & Laravel / Symfony — strong commercial experience; you know the frameworks, not just the syntax Backend architecture — microservices, REST APIs, event-driven systems; you've designed things, not just implemented them Infrastructure & databases — MySQL (MariaDB), MongoDB, Redis, Docker, Kubernetes, GitLab CI/CD AI tooling — hands-on Claude Code, Cursor, or equivalent in real development; bonus if you've built MCP servers or agents Communicative Polish and English — you work closely with PMs, QA, and other engineers Tech stack PHP, Laravel, Symfony, Claude Code, MCP servers, AI agents, MySQL / MariaDB, MongoDB, Redis, CQRS, Event Sourcing, Microservices, RabbitMQ, Docker, Kubernetes, GitLab CI/CD, REST API, JavaScript, TypeScript, Node.js. What comes with the collaboration Remote-first collaboration model International technology and product projects Flexible project collaboration setup Planned service breaks aligned with contract terms Opportunity to collaborate with experienced product and technology teams Opportunity to access selected knowledge-sharing initiatives Contract terms: B2B , Monthly compensation range: 15,000- 25,000 PLN net depending on experience and scope of responsibilities. If you're interested in a different type of collaboration than the one listed above, let us know in your application. We'll be happy to discuss the available options during the recruitment process. → Recruitment process Intro call with the Recruiter (up to 45 minutes). We cover your background, what you're looking for, and mutual fit, Technical Interview (up to 90 minutes). Expect concrete technical questions, a discussion of how you approach architecture and ownership, and how you actually use AI in your work. We care about judgment, not keyword recall.

🏢 Summary: The offer is for a Software Engineer to build and scale a next-generation cloud-based platform using Azure, .NET Core, React, and TypeScript. The role focuses on designing scalable cloud services, applying DDD and CQRS patterns, integrating AI tools into the development workflow, and maintaining high code quality. It combines backend and frontend development with cloud architecture responsibilities in an agile environment. 🗂️ Requirements: 3+ years professional software development experience, Strong proficiency in C#, Strong proficiency in .NET, Hands-on experience with React or equivalent frontend framework, Experience with TypeScript or JavaScript, Practical knowledge of DDD and CQRS patterns, Experience deploying and operating services on Microsoft Azure, Experience designing and maintaining RESTful APIs, Experience with relational databases, Experience using AI development tools, Strong testing practices in production software, English B2 or higher 📃 Skills: C#, .NET, React, TypeScript, JavaScript, Azure, DDD, CQRS, REST, SQL, GitHubCopilot, LLM 🏢 Description: At Medius , we believe finance should empower strategy, not stress. Founded in Sweden in 2001, we’ve grown from a local startup into a global leader in cloud-based spend management . Thousands of organizations trust our AI-powered solutions to simplify processes, eliminate manual work, and give finance teams clarity, confidence, and control . We’re more than a software company – we’re a global team of problem-solvers and innovators reinventing accounts payable. Our culture thrives on freedom, curiosity, and continuous improvement, giving you space to focus on what matters – and still have time to live your best life. If you want to make a real impact, see your ideas come to life, and shape the future of finance, Medius is the place for you. Job overview We are looking for a highly skilled Software Engineer to join our Kraków-based team as we scale our next-generation, true cloud service. Supporting over 1,000 global clients, our main platform is built on a modern stack of Azure, .NET Core, React, and TypeScript. In this role you will do more than write code; you will influence the product’s future by designing scalable solutions and championing the integration of AI to revolutionize our development lifecycle. Success in this role means balancing high-velocity feature delivery with long-term architectural health. What you'll do: Build and maintain scalable cloud services that can handle the load a global customer base puts on them. Apply Domain-Driven Design (DDD) principles in practice — modular, maintainable code, not just the vocabulary. Use AI tools (GitHub Copilot, LLM assistants, etc.) as a genuine part of your workflow — code generation, refactoring, documentation, test writing. Design and maintain RESTful APIs that integrate cleanly within a complex cloud environment. Work with Azure services and make sensible trade-offs between performance, cost, and security. Collaborate with engineers, product owners, and designers in an agile team — contribute to the work and to the culture. Write good tests, participate in code reviews, and hold a high bar for code quality. Keep an eye on emerging tooling and bring back what's actually useful. Qualifications: 3+ years of professional software development experience, strong with C# and .NET. Hands-on frontend experience — React (or equivalent), TypeScript/JavaScript. Practical familiarity with DDD and CQRS patterns, not just theoretical knowledge. Experience deploying and operating services on Microsoft Azure. Some real experience using AI tools to speed up development — and genuine curiosity to go further. Solid with relational databases and RESTful API design. Strong testing habits and a track record of maintaining quality in production software. CS degree or equivalent experience. English at B2 or above — you can explain technical decisions clearly to non-technical stakeholders. You take ownership of your work and invest in your own growth and in the team's. Why Medius : Well-being perks: Multikafeteria program, private healthcare (LuxMed), life insurance Fun & connection: Summer & Christmas parties, Game Board nights, spontaneous team events Growth & impact: Be part of a team where your ideas matter, innovation thrives, and your work is visible globally

🏢 Summary: Forward Deployment Engineer role focused on embedding with clients to scope, build, and ship production-ready AI systems. The position combines hands-on development, pre-sales, and consulting, delivering AI-enabled workflows and integrating them into existing stacks. Half of the role involves building reusable AI agents and tools for the internal AI platform based on client engagements. 🗂️ Requirements: 5+ years total experience in software engineering, 3+ years hands-on experience building and shipping AI-assisted systems, 2+ years in client-facing consulting or pre-sales engineering, Full-cycle ownership from discovery to production and handoff, Production-grade experience with Python and/or TypeScript, Experience designing AI systems (agents, RAG, copilots, MCP), Experience with REST APIs and SaaS integrations, Experience with cloud deployment and security reviews, Ability to define and implement evaluation metrics for AI systems, Fluent communication in Polish and English (B2+) 📃 Skills: Python, TypeScript, LLM, Claude, GPT, RAG, MCP, REST, API, iPaaS, SaaS, Cloud, CRM, BI 🏢 Description: Description Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive, and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full-time employee, great! We want to create the right opportunities for you. Over the past ten years, Netguru has changed the way people bank, listen to music, learn languages, and rent bicycles. Some of their clients include Fortune 500 companies and startups like or . Netguru works with the largest brands in the world, such as , or . As the Forward Deployment Engineer you will sit at the intersection of client delivery, pre-sales, and internal AI tooling. You embed with a client (or an internal Netguru team), translate ambiguous problems into a defensible technical scope, and ship working AI systems to production - fast. Half of your time goes back into Netguru: every reusable pattern you spot in the field becomes a skill, agent, or MCP inside NetguruOS. This is a builder role, not an advisory one. Proof of work is a running system - not a deck. Salary: from 22000PLN net on B2B contract + 20 paid days off or from 18000PLN gross on Contract of Employment What you'll do: Client engagements Embed temporarily into the team that owns the problem - client engineering org or internal Netguru team Run discovery with stakeholders from CTO down to end-user Translate ambiguous pain into a written technical scope you can defend Lead pre-sales on AI opportunities - scope, price, propose, close Build Prototype in days, not weeks - working software, not slides Write production-grade Python or TypeScript (or whatever the client runs) Ship AI-enabled workflows: copilots, agents, RAG systems, automation, internal tooling Integrate with the client's existing stack Stand up evals, observability, and guardrails before going live Own the path to production: security review, procurement, change management Build internally (≈50% of the role) Extend Netguru's internal AI platform with new agents, MCPs, and skills based on field learnings Build enablement tooling for internal AI delivery teams — templates, runbooks, reusable skills Codify reusable client patterns back into NetguruOS Requirements Experience 5+ years total, including 3+ years hands-on building and shipping AI-assisted systems 2+ years in a client-facing consulting or pre-sales engineering role Proven full-cycle ownership: discovery → scoping → build → production → handoff Comfortable with both technical and business stakeholders in the same engagement Communicative (B2+) Polish and English. Technical Production-grade Python and/or TypeScript - shipped systems, not scripts LLM stack fluency (Claude, GPT, open-weight) - knows when to use which and why AI system design: agents, RAG pipelines, copilots, MCP servers, sub-agents Eval-driven development - defines success metrics before shipping, measures after Integration experience: REST APIs, iPaaS, common SaaS (CRM, PM, BI) Cloud deployment, security reviews, change management Consulting & communication Translates ambiguous client pain into written technical scope - and defends it Credible with a CEO and an engineer on the same day Proposal writing and deal scoping for AI engagements Senior stakeholder management without hand-holding Mindset Builder by default - running system over recommendation deck Stack-agnostic - picks the right tool, not the favorite one Walks into chaos, imposes structure, delivers clarity Ships in days, not weeks Nice to have: Domain experience in Finance, Retail, or Supply Chain Public presence - conference talks, open-source, published writing on AI SDLC orchestration and multi-agent pipelines What success looks like (first 6–12 months) First AI engagement scoped, built, and delivered to production At least one reusable asset (agent skill, MCP, eval suite) shipped into NetguruOS Measurable time savings from internal tooling contributions Benefits Access to the WorkSmile platform offering benefits adapted to your preferences: Multisport card. Private health insurance package. Life insurance. Hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.). Discounts on Apple products. Support for your growth - a head/manager’s budget available to every employee. PLN 175 monthly lump sum (ryczałt) for remote employees (Contract of Employment) Various internal initiatives: webinars, knowledge-sharing sessions, . Don't hesitate and apply right away! At Netguru, we're committed to creating an inclusive environment for everyone. If you require any disability-related accommodations during the recruitment process, please let us know. We're here to help!

🏢 Summary: Engineering leadership role focused on building and scaling the Core Retrieval Platform that powers data availability, search, event delivery, and real-time activity logs at massive scale. The position involves defining technical strategy, managing Team Leaders, and improving distributed data retrieval systems with strict latency, freshness, and quality guarantees. The role includes technical leadership across large-scale production systems and collaboration with stakeholders to support AI-driven product capabilities. 🗂️ Requirements: Strong distributed systems expertise, Experience with large-scale production data processing, Senior engineering management experience, Experience managing Team Leaders and Senior Technical Leaders, Experience delivering end-to-end complex architecture, Strong application optimization knowledge, Strong infrastructure optimization knowledge, Ability to define technical strategy, Experience working with scalable data retrieval systems 📃 Skills: DistributedSystems, Search, DataProcessing, Infrastructure, Architecture, CI/CD, AI, Scalability, Latency, EventDelivery 🏢 Description: At monday.com , we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works. We fully embrace the AI revolution and we equip you with AI-powered IDEs, customizable agent rules, prompt engineering tools to streamline your workflow and AI-infused CI/CD pipelines designed to boost speed and reliability. You'll also tap into AI-driven insights, helping you make smarter decisions, faster. The role is based in our Warsaw office - established in 2022, it is a growing hub for engineers who love solving impactful problems. Teams here work on a broad range of challenges that push the boundaries of our products and infrastructure. Dive into these blog posts to discover the kind of work that could be waiting for you: Detecting traffic anomalies at scale Managing Trace Volume at monday.com How we mastered Content Security Policy Guarding the herd – managing database servers at scale About the Group The Core Retrieval Platform's mission is critical to future of monday.com : guarantee that all data stored in monday is available for consumption in a single place. With billions of changes a month, data needs to be processed seamlessly and made Searchable by end users, products, and now AI agents. The shift to supporting Agentic Product capabilities makes seamless acess to data in a single place more critical than ever. The group is on a mission to advance data retrieval capabilities for all types of data with strict freshness, latency, and quality guarantees: Write path - guaranteeing hyper-scale throughput and data integrity Event delivery - guaranteeing data delivery at ultra-low latency Search - guaranteeing query result quality, retrieval latency, and freshness Activity Log - providing real-time access tens of billions of data changes in the system About The Role Own the mission and outcomes of the Core Retrieval Platform group Work with critical stakeholders across the organization to ensure we're constantly enabling adavancement of rapidly evolving products with highest sense of urgency Deeply understand and constantly improve data retrieval capabilities for real world usecases and consumption models Work with the Group Tech Lead to define technical strategy, and translate that into actionable scopes of work for each team Manage and develop Team Leaders, supporting their growth and ensuring cross-team alignment Understand the platform's architecture, usage patterns, and product context deeply and identify the next set of problems worth solving Your Experience & Skills Strong distributed systems understanding with deep background in application and infrastructure optimizations Familiarity with large scale production-grade data processing challanges Senior engineering management experience - you've managed Team Leaders and Senior Technical Leaders, and you know how to develop people who run complex technical domains. A problem-solver who understands reality: you understand the system, organizational constraints, and implement engineering-creative approaches that actually ship Experience owning end-to-end complex architecture delivery - not just running organizational ceremonies, but defining what needs to be built and why Salary & Compensation At monday.com , our total compensation package includes: Base salary Bonus target Restricted Stock Units (RSUs) The total target monthly compensation for this role ranges from 73,000 PLN to 80,000 PLN. The total compensation package shown here reflects the current monday.com stock price and may change over time as the stock price varies.The target bonus and RSU grant are discretionary, depend on individual and company performance, and are subject to Board approval and the company’s equity plan, in line with monday.com ’s bonus policy as updated from time to time. The benefits listed reflect programs currently offered in Poland; availability and terms may vary depending on the role, contract type, and company policy. These details do not constitute an employment offer or guarantee and may be modified at the company’s discretion, in accordance with applicable law. What to expect next? First up, you'll have a quick 20-30 minute chat with our Talent Acquisition Partner. If that goes well, we'll move forward to technical stages that will include: system design and end2end interviews. Each interview lasts 1 hour. If successful, we'd love to meet you in person too! So, the final stages will be in our Warsaw office, where you'll have a Management Interview and an HR Interview, each lasting about an hour. If everything clicks, we'll be thrilled to offer you a spot on our team! What monday.com can offer you: Opportunity to join an innovative, proven company with big ambitions, competitive salary and benefits, bonus potential, and some roles are eligible to take part in the company equity incentive program. A team that values transparency and collaboration while having fun while we work. From Monday to Wednesday, we'll fuel your day with free breakfast and lunch in the office. Comprehensive private medical care, life insurance, and a Multisport card to keep you active and healthy. We care of employee's mental health as well - you will get access to Calm Mindfulness App. Get awesome discounts on our partners' products and services. Regular team get-togethers and fun events, plus special gifts to mark your birthday and work anniversaries. Fully dedicated learning and development team that provides opportunities for employees to grow, gain new skills, master AI tools, and participate in workshops Award winning work environment - named a "Best Place to Work" by Built In as well as "Great Place To Work" certified. We foster diversity, inclusion, and belonging through our Employee Resource Groups in addition to providing access to resources and education to support our team, facilitate conversations, and encourage understanding. A global work environment with employees in New York, Tel Aviv, London, Sydney, São Paulo, Tokyo, and more.

🏢 Summary: The role involves shaping and strengthening a cloud-native Azure-based platform that processes millions of invoices, focusing on reliability, scalability, security, and developer experience. As a Senior Platform Engineer, you will build frameworks and shared components within a mature .NET codebase while modernizing infrastructure and deployment practices. The position emphasizes improving engineering effectiveness and platform quality across the product. 🗂️ Requirements: Senior-level experience in cloud-native Azure environments, Strong proficiency in C# and .NET, Experience improving reliability, scalability, and observability, Experience modernizing deployment and cloud infrastructure, Ability to design robust abstractions and solve systemic problems, Experience with testing practices and quality assurance improvements, Ability to work within and enhance mature codebases, Fluency in English 📃 Skills: Azure, C#, .NET, AKS, ServiceFabric, CI/CD, Testing, Observability, Cloud, Microservices 🏢 Description: At Medius , we believe finance should be about strategy, not stress. Founded in Sweden in 2001, we’ve grown from a local startup into a global leader in cloud-based spend management. Thousands of organizations trust our AI-powered solutions to remove complexity, eliminate manual work, and give finance teams clarity, confidence, and control. We’re more than a software company - we’re a global team of problem-solvers and innovators reinventing accounts payable. Our culture is built on freedom, curiosity, and continuous improvement, giving you space to focus on what matters and still have time to live your best life. Join Medius and be part of a team where ideas matter, innovation thrives, and your impact is felt. Learn more at www.medius.com Job overview The Capture team at Medius processes millions of invoices through a cloud‑native platform built on Azure. As a Senior Platform Engineer, you will play a key role in shaping the application platform that underpins the product. You will work directly in the product codebase, building frameworks, abstractions, and cross‑cutting capabilities that improve reliability, scalability, security, and developer experience. Success in this role means elevating the engineering effectiveness of the entire team and strengthening the platform foundations that enable Capture to deliver a world‑class product experience. Responsibilities and Duties Identify, prioritize, and implement solutions for impactful cross‑cutting concerns such as reliability, scalability, security, developer experience, and customer experience. Strengthen shared platform components and libraries in a mature codebase, balancing pragmatic improvements with long-term architectural evolution in close collaboration with product engineers. Improve testing practices and quality assurance across the platform—whether through better test frameworks and data management, contract testing for service boundaries, or strategies that make legacy code more testable without requiring full rewrites. Modernize deployment practices and infrastructure as the platform migrates from Service Fabric to AKS, improving reliability and release velocity for a production system serving millions of invoices. Raise engineering quality through pair programming, thoughtful code reviews, and clear technical communication. Collaborate closely with engineers across the team to promote best practices, knowledge sharing, and consistent architectural patterns. Qualifications Experience as a senior engineer working in cloud‑native Azure and .NET environments. Proven track record of improving engineering effectiveness in areas such as throughput, stability, observability, and developer experience. Strong proficiency in C#, .NET, and Azure services Ability to analyse systemic problems and design robust abstractions rather than localized fixes. Strong collaborative mindset, with experience in pair programming, mentoring, and driving technical alignment. Excellent communication skills and fluency in English for effective cross‑team collaboration. Benefits Well-being perks : Multikafeteria program, private healthcare (LuxMed), life insurance Fun & connection : Summer & Xmas parties, Game Board nights, and spontaneous events

🏢 Summary: Software Engineer role focused on building and scaling a next-generation cloud platform using Azure, .NET Core, React, and TypeScript. The position involves designing scalable architectures, applying DDD and CQRS patterns, and integrating AI tools to optimize development workflows. The role balances rapid feature delivery with long-term architectural quality for a global SaaS product. 🗂️ Requirements: 4+ years professional software development experience, Strong proficiency in C# and .NET, Hands-on experience with React, Experience with TypeScript or JavaScript, Practical experience with Microsoft Azure services, Knowledge of Domain-Driven Design (DDD), Understanding of CQRS pattern, Experience designing RESTful APIs, Experience with relational databases, Experience with code testing practices, Experience using AI development tools, Degree in Computer Science, Engineering or related field, English proficiency at B2 level or higher 📃 Skills: C#, .NET, Azure, React, TypeScript, JavaScript, DDD, CQRS, REST, SQL, GitHub, Copilot, LLM, AI 🏢 Description: At Medius , we believe finance should empower strategy, not stress. Founded in Sweden in 2001, we’ve grown from a local startup into a global leader in cloud-based spend management . Thousands of organizations trust our AI-powered solutions to simplify processes, eliminate manual work, and give finance teams clarity, confidence, and control . We’re more than a software company – we’re a global team of problem-solvers and innovators reinventing accounts payable. Our culture thrives on freedom, curiosity, and continuous improvement, giving you space to focus on what matters – and still have time to live your best life. If you want to make a real impact, see your ideas come to life, and shape the future of finance, Medius is the place for you. Job overview We are looking for a highly skilled Software Engineer to join our Kraków-based team as we scale our next-generation, true cloud service. Supporting over 1,000 global clients, our main platform is built on a modern stack of Azure, .NET Core, React, and TypeScript. In this role you will do more than write code; you will influence the product’s future by designing scalable solutions and championing the integration of AI to revolutionize our development lifecycle. Success in this role means balancing high-velocity feature delivery with long-term architectural health. What you'll do: Architect and develop scalable, high-quality cloud services, ensuring they meet the demands of a global client base. Master Domain-Driven Design (DDD) principles to build modular, maintainable, and highly performant software components. Drive AI Integration with use of AI tools (e.g., GitHub Copilot, LLM-based assistants) to automate code generation, refactoring, documentation, and unit testing. Design RESTful Web Services that facilitate seamless communication within our complex cloud infrastructure. Optimize Azure Services to ensure our infrastructure is not only performant and scalable but also cost-effective and secure. Collaborate within cross-functional teams of engineers, product owners, and designers, fostering a culture of mutual support and accountability in an agile environment. Champion code excellence by implementing best practices in code testing, maintaining quality standards, and providing insightful code reviews. Innovate and automate by investigating emerging technologies and AI trends to reduce manual overhead and accelerate team velocity. Qualifications Experience: 6+ years of professional experience in software development, with deep proficiency in C# and .NET technologies. Frontend proficiency: solid hands-on experience with React (or similar frameworks) and TypeScript/JavaScript. Architectural expertise: proven experience with (or deep understanding of) DDD and CQRS patterns. Practical experience in designing, deploying, and maintaining services within Microsoft Azure. AI & automation skills: demonstrated interest or experience in using AI-driven tools to automate development workflows and increase personal and team productivity. Data & API design: strong experience with relational databases and the design of robust RESTful APIs. Quality focus: a background in rigorous code testing practices and maintaining high-quality software code. Education: degree in Computer Science, Engineering, or a related field (or equivalent proven experience). Communication: English proficiency at B2 level or above, with the ability to articulate complex technical concepts to diverse stakeholders. A strong sense of ownership over your work and a commitment to continuous learning and knowledge sharing. Why Medius : Well-being perks: Multikafeteria program, private healthcare (LuxMed), life insurance Fun & connection: Summer & Christmas parties, Game Board nights, spontaneous team events Growth & impact: Be part of a team where your ideas matter, innovation thrives, and your work is visible globally

🏢 Summary: Senior engineering role focused on building AI-driven SRE and infrastructure automation systems, including intelligent incident response, resilience tooling, and self-healing platforms. The position involves leading architecture initiatives, improving reliability practices, and developing scalable internal platforms using modern cloud and Kubernetes technologies. 🗂️ Requirements: Comprehensive development proficiency in Go, TypeScript, Node.js, or similar, Deep understanding of SRE concepts including SLOs and SLIs, Experience designing complex services, systems, or developer tooling, Experience managing high-throughput microservices, Strong knowledge of Kubernetes and Linux internals, Experience leading incident response, Ability to lead teams or mentor engineers, Hands-on experience building infrastructure tools with AI or LLMs 📃 Skills: Go, TypeScript, Node.js, Kubernetes, Datadog, Coralogix, ChaosMesh, AWS, Terraform, CDKTF, Linux, Microservices, SRE, SLI, SLO, LLMs, AI, CI/CD 🏢 Description: At monday.com , we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works. We fully embrace the AI revolution and we equip you with AI-powered IDEs, customizable agent rules, prompt engineering tools to streamline your workflow and AI-infused CI/CD pipelines designed to boost speed and reliability. You'll also tap into AI-driven insights, helping you make smarter decisions, faster. In this position, you’ll own complex projects end-to-end and play a critical part in solving meaningful problems pioneering the use of AI, LLMs, and modern SRE practices to automate incident response, optimize resilience, and build intelligent self-healing systems. You will have plenty of opportunities to shape architecture and mentor others. This role is perfect for seasoned engineers who thrive on making a lasting impact, leading through their craft, and building the future of AI-driven infrastructure. The role is based in our Warsaw office - established in 2022, it is a growing hub for engineers who love solving impactful problems. Teams here work on a broad range of challenges that push the boundaries of our products and infrastructure. Dive into these blog posts to discover the kind of work that could be waiting for you: Detecting traffic anomalies at scale Managing Trace Volume at monday.com How we mastered Content Security Policy Guarding the herd – managing database servers at scale About the role Architect and build next-generation internal tooling leveraging AI and LLMs to drive automated reliability, system resilience, and intelligent incident response. Partner with engineering teams to define and monitor business-aligned SLIs and SLOs. Maintain a macro-level understanding of our service architecture to guide the engineering organization on systemic safety and dependencies. Identify and mitigate risks in complex interconnections through highly scalable, automated engineering solutions. Lead complex service re-architecture initiatives across R&D groups to maximize system uptime and fault tolerance. Establish high-quality production standards for new services and embed automated validation gates into CI/CD pipelines. Champion Chaos Engineering organization-wide, collaborating with R&D to build automated testing environments and self-healing systems. Manage the full lifecycle of internal platforms, setting development and architectural guidelines for other engineers. Our Stack: Kubernetes, Datadog, Coralogix, Chaos Mesh, AWS, Terraform, CDKTF, Go, TypeScript, Node.js Requirements Comprehensive development proficiency (preferred: Go, TypeScript, Node.js, or similar), with the ability to design complex services, systems, or developer tooling using AI coding assistants. Deep understanding of SRE concepts (SLOs/SLIs) and proven ability to lead teams or mentor engineers. Experience managing high-throughput microservices, production Kubernetes/Linux internals, and leading incident response. Strong interest or hands-on experience building infrastructure tools leveraging AI or LLMs to automate operations. (Nice-to-have): Prior experience with Chaos Engineering frameworks. Salary & Compensation At monday.com , our total compensation package includes: Base salary Bonus target Restricted Stock Units (RSUs) The total target monthly compensation for this role ranges from 44,000 PLN to 54,000 PLN. The total compensation package shown here reflects the current monday.com stock price and may change over time as the stock price varies.The target bonus and RSU grant are discretionary, depend on individual and company performance, and are subject to Board approval and the company’s equity plan, in line with monday.com ’s bonus policy as updated from time to time. The benefits listed reflect programs currently offered in Poland; availability and terms may vary depending on the role, contract type, and company policy. These details do not constitute an employment offer or guarantee and may be modified at the company’s discretion, in accordance with applicable law. What monday.com can offer you: Opportunity to join an innovative, proven company with big ambitions, competitive salary and benefits, bonus potential, and some roles are eligible to take part in the company equity incentive program. A team that values transparency and collaboration while having fun while we work. From Monday to Wednesday, we'll fuel your day with free breakfast and lunch in the office. Comprehensive private medical care, life insurance, and a Multisport card to keep you active and healthy. We care of employee's mental health as well - you will get access to Calm Mindfulness App. Get awesome discounts on our partners' products and services. Regular team get-togethers and fun events, plus special gifts to mark your birthday and work anniversaries. Fully dedicated learning and development team that provides opportunities for employees to grow, gain new skills, master AI tools, and participate in workshops Award winning work environment - named a "Best Place to Work" by Built In as well as "Great Place To Work" certified. We foster diversity, inclusion, and belonging through our Employee Resource Groups in addition to providing access to resources and education to support our team, facilitate conversations, and encourage understanding. A global work environment with employees in New York, Tel Aviv, London, Sydney, São Paulo, Tokyo, and more.