Senior FullStack Developer (AI Stack)

🏢 Summary: Build scalable backend systems for an AI-native legal platform that automates complex document workflows, including review, drafting, analysis, anonymization, translation, and semantic search. The role offers close product collaboration, ownership over technical direction, and work in a fast-paced international startup environment. 🗂️ Requirements: English communication at C1+ level, Experience building scalable, robust backend systems, Hands-on daily use of AI tooling, Ability to work in a fast-paced, international startup environment 📃 Skills: Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure, React, Next.js, TypeScript, shadcn, Zustand, Claude, Cursor 🏢 Description: About us comm1t is a specialist IT recruitment agency delivering top engineers across Poland and Europe 🇪🇺. We combine experienced recruiters with autonomous AI agents and an obsessive focus on quality — sourcing 24/7 across LinkedIn, GitHub, and beyond to reach engineers who aren't actively job hunting but are open to the right move. We don't flood you with CVs. We get to know each candidate's skills, values, and goals, then send only the best-matched people — and we stay close through onboarding and the first months to make sure the placement lasts. About the role You'll work on an AI-native platform for the legal industry — building agentic AI workflows that let legal teams delegate complex, multi-step work. Not just chat-based assistance, but actual end-to-end execution on documents: review, drafting, analysis, anonymization, translation, and semantic search. The product is highly scalable and performant, handling large volumes of large legal documents. You'll work very closely with the product, with real ownership and impact on its direction. We're looking for top-tier engineers who deliver high-quality code and challenge decisions rather than just execute tickets. Tech stack Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure Cloud, React, Next.js, TypeScript, shadcn/ui, Zustand Must-have Strong English communication (C1+) Experience building scalable, robust backend systems within (or close to) the stack above Hands-on experience with AI tooling in your daily work (Claude Code, Cursor, etc.) — this is a hard requirement Comfort in a fast-paced, international startup environment Nice to have Experience building LLM-powered features or workflows (OpenAI/Anthropic APIs, LangChain, agentic systems)

🏢 Summary: Build scalable backend systems for an AI-native legal platform that automates complex document workflows, including review, drafting, analysis, anonymization, translation, and semantic search. The role offers close product collaboration, ownership of technical direction, and work in a fast-paced international startup environment. 🗂️ Requirements: English communication at C1+ level, Experience building scalable, robust backend systems, Hands-on daily use of AI tooling, Comfort working in a fast-paced, international startup environment, Ability to deliver high-quality code and challenge technical decisions 📃 Skills: Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure, React, Next.js, TypeScript, shadcn/ui, Zustand, Claude, Cursor 🏢 Description: About us comm1t is a specialist IT recruitment agency delivering top engineers across Poland and Europe 🇪🇺. We combine experienced recruiters with autonomous AI agents and an obsessive focus on quality — sourcing 24/7 across LinkedIn, GitHub, and beyond to reach engineers who aren't actively job hunting but are open to the right move. We don't flood you with CVs. We get to know each candidate's skills, values, and goals, then send only the best-matched people — and we stay close through onboarding and the first months to make sure the placement lasts. About the role You'll work on an AI-native platform for the legal industry — building agentic AI workflows that let legal teams delegate complex, multi-step work. Not just chat-based assistance, but actual end-to-end execution on documents: review, drafting, analysis, anonymization, translation, and semantic search. The product is highly scalable and performant, handling large volumes of large legal documents. You'll work very closely with the product, with real ownership and impact on its direction. We're looking for top-tier engineers who deliver high-quality code and challenge decisions rather than just execute tickets. Tech stack Python, FastAPI, Redis, SQL, NoSQL, Celery, Azure Cloud, React, Next.js, TypeScript, shadcn/ui, Zustand Must-have Strong English communication (C1+) Experience building scalable, robust backend systems within (or close to) the stack above Hands-on experience with AI tooling in your daily work (Claude Code, Cursor, etc.) — this is a hard requirement Comfort in a fast-paced, international startup environment Nice to have Experience building LLM-powered features or workflows (OpenAI/Anthropic APIs, LangChain, agentic systems)

🏢 Summary: Full Stack Engineer role focused on building an AI-native assistant that delivers reliable, persistent, goal-oriented workflows. The position covers frontend, backend and AI integrations, including agent planning, tool use, LLM reliability and real-time interactions in a remote-first global team. 🗂️ Requirements: Professional full-stack engineering experience across frontend and backend systems, System design, distributed applications and API architecture knowledge, Experience with LLMs, RAG systems or AI-powered applications, Ability to own features from concept through production deployment, Pragmatic decision-making in ambiguous, fast-moving environments, Cross-functional collaboration with engineering, Machine Learning and product teams 📃 Skills: Next.js, Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, RAG, SQL, NoSQL, Kubernetes, Docker, APIs 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role We are looking for a Full Stack Engineer specializing in AI systems to build the product layer that transforms advanced AI capabilities into useful, production-grade workflows. You will help design how AI agents plan and operate, interact with external tools, manage failures, recover from errors and deliver consistent value to users. This is an end-to-end engineering role covering frontend development, backend systems and AI integrations. What you will do Build end-to-end product functionality across frontend, backend and AI integrations. Design agent workflows covering planning, tool use, multi-step execution, failure handling and recovery. Integrate LLMs, memory systems and external tools into applications that operate reliably under real-world conditions. Design real-time AI interactions involving streaming, partial results and strict latency requirements. Improve system reliability, observability and fallback mechanisms. Collaborate closely with Machine Learning, backend and product teams to deliver functionality from concept to production. Continuously improve the product based on real-world usage, evaluation results and observed failure modes. What we are looking for Strong professional experience in full stack engineering across frontend and backend systems. Solid understanding of system design, distributed applications and API architecture. Experience working with LLMs, RAG systems or other AI-powered applications. Ability to operate effectively in ambiguous situations and make pragmatic engineering decisions. Strong ownership and the ability to take functionality from an initial idea through implementation and production deployment. Confidence working in a fast-moving environment with evolving product requirements. Ability to collaborate effectively across engineering, Machine Learning and product teams. What success looks like AI-native product features progress beyond basic chat interfaces into persistent, goal-oriented workflows. Agent workflows reliably complete multi-step tasks across external tools and multiple user sessions. AI interactions remain responsive and achieve low latency without compromising output quality. Production systems include robust fallback and recovery mechanisms for LLM and external-tool failures. The reliability and completion rate of AI workflows improve through continuous evaluation, monitoring and iteration. Reusable patterns and abstractions support scalable integration of LLMs, memory and external tools. The resulting product experience feels proactive, consistent and dependable to users. Technology stack Next.js Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with frontend, backend, Machine Learning and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

🏢 Summary: Full Stack Engineer role focused on building an AI-native assistant that delivers reliable, persistent, goal-oriented workflows. The position covers frontend, backend and AI integrations, including agent planning, external-tool use, LLM reliability and real-time interactions in a remote-first global team. 🗂️ Requirements: Professional full-stack engineering experience, Frontend and backend systems experience, System design expertise, Distributed applications knowledge, API architecture knowledge, LLM, RAG or AI-powered application experience, Production deployment ownership, Cross-functional collaboration with Engineering, Machine Learning and Product teams 📃 Skills: Next.js, Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, RAG, SQL, NoSQL, Kubernetes, Docker, APIs 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role We are looking for a Full Stack Engineer specializing in AI systems to build the product layer that transforms advanced AI capabilities into useful, production-grade workflows. You will help design how AI agents plan and operate, interact with external tools, manage failures, recover from errors and deliver consistent value to users. This is an end-to-end engineering role covering frontend development, backend systems and AI integrations. What you will do Build end-to-end product functionality across frontend, backend and AI integrations. Design agent workflows covering planning, tool use, multi-step execution, failure handling and recovery. Integrate LLMs, memory systems and external tools into applications that operate reliably under real-world conditions. Design real-time AI interactions involving streaming, partial results and strict latency requirements. Improve system reliability, observability and fallback mechanisms. Collaborate closely with Machine Learning, backend and product teams to deliver functionality from concept to production. Continuously improve the product based on real-world usage, evaluation results and observed failure modes. What we are looking for Strong professional experience in full stack engineering across frontend and backend systems. Solid understanding of system design, distributed applications and API architecture. Experience working with LLMs, RAG systems or other AI-powered applications. Ability to operate effectively in ambiguous situations and make pragmatic engineering decisions. Strong ownership and the ability to take functionality from an initial idea through implementation and production deployment. Confidence working in a fast-moving environment with evolving product requirements. Ability to collaborate effectively across engineering, Machine Learning and product teams. What success looks like AI-native product features progress beyond basic chat interfaces into persistent, goal-oriented workflows. Agent workflows reliably complete multi-step tasks across external tools and multiple user sessions. AI interactions remain responsive and achieve low latency without compromising output quality. Production systems include robust fallback and recovery mechanisms for LLM and external-tool failures. The reliability and completion rate of AI workflows improve through continuous evaluation, monitoring and iteration. Reusable patterns and abstractions support scalable integration of LLMs, memory and external tools. The resulting product experience feels proactive, consistent and dependable to users. Technology stack Next.js Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with frontend, backend, Machine Learning and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

🏢 Summary: Develop and enhance scalable enterprise web platforms for international markets using Java 21+, Spring Boot, Angular 22+, and TypeScript. The role combines end-to-end feature delivery, REST API and UI development, clean architecture, and AI-assisted Spec Driven Development in a hybrid work model. 🗂️ Requirements: Experience building web applications, Strong Java and Spring Boot knowledge, REST API design skills, Angular and TypeScript proficiency, Knowledge of design patterns, SOLID and Clean Code, TDD experience, Document and relational database experience, English proficiency at B2 level, AI-assisted programming in the Spec Driven Development model 📃 Skills: Java, SpringBoot, Angular, TypeScript, REST, SOLID, TDD, MongoDB, PostgreSQL, AI, SDD 🏢 Description: We build and develop proprietary, scalable Enterprise-class platforms for international markets. Our systems comprehensively and intelligently manage complex business processes and lifecycles, handling millions of operations monthly. We are looking for people who don't want to write repetitive code in legacy systems. If you care about clean architecture, working with a modern tech stack, and the real-world application of AI tools in your daily coding – this role is for you. Core Tech Stack: Java 21+ / Angular 22+ How do we actually use AI in our daily work? In our team, AI is an engineering tool, not just a marketing buzzword. We operate within the Spec Driven Development paradigm: AI Agents Support: We use AI tools for the technical documentation of our modules, task specification, building technical plans, as well as verifying and testing tasks. Focus on Architecture: Thanks to the automation of tedious tasks, you get more time to design complex business logic and optimize system performance. Modern Environment: We work in an ecosystem integrated with advanced AI solutions (including Google Workspace AI). Your Profile: Experience in building and developing web applications Strong knowledge of Java and the Spring Boot ecosystem, along with the ability to design efficient REST APIs Proficiency in creating user interfaces using the Angular framework (TypeScript) Architectural thinking – understanding and practical application of design patterns and clean code principles (SOLID, Clean Code, TDD) Practical skills in working with document (e.g., MongoDB) and relational databases (e.g., PostgreSQL) English language skills at a min. B2 level, allowing for fluent communication within the team as well as reading and creating technical documentation Programming with the use of AI in the SDD (Spec Driven Development) model Nice to have: Understanding of complex enterprise products, business processes, or specific market regulations (generalized to fit the new intro) Experience in designing distributed systems, working with Docker/Kubernetes, and optimizing system performance Practical knowledge of DDD (Domain-Driven Design), Event-Driven Architecture, or advanced experience in automated testing (TDD, integration tests) Your Responsibilities: Development of proprietary Comarch products for Polish and international markets Designing, analyzing, and implementing solutions according to requirements Introducing new features and fixing bugs in existing applications Ensuring high code quality by applying good programming practices: Clean Code, Code Review Collaborating with the project team in software development and deploying new system versions within an agreed scope What We Offer: Private medical care (Allianz) - access to specialists and diagnostic tests for you and your loved ones Cafeteria system - you can choose full funding for a Multisport card or allocate funds for culture, recreation, sports, and shopping Hybrid work model after the onboarding period (2 days of remote work, 3 days from the office) Access to advanced AI and Google Workspace tools Participation in international projects carried out for enterprise and financial sector companies Professional career development - clear career paths for technical, business, and managerial expert roles Individual training and conference plan A friendly work atmosphere in tight-knit teams, fostered by integration events and joint initiatives for local communities Opportunities to participate in campaigns and events promoting an active lifestyle

🏢 Summary: Lead AI Software Developer role focused on architecting and scaling AI-powered applications, backend services, and enterprise integrations. The position leads AI agent and LLM solution development, technical standards, mentoring, and cloud-based automation delivery. 🗂️ Requirements: Degree in Computer Science, AI, Data Science, or similar field, 8+ years of software engineering experience, 5+ years of production Python backend development, Experience building and scaling Python applications, Hands-on experience with AI Agents, RAG, and MCP, Experience with AWS or Azure, storage, databases, and AI services, Knowledge of containerization and Kubernetes, Experience with API integrations and enterprise system connectivity, Leadership and mentoring experience, Fluent Polish and English at B2 minimum, Willingness to travel internationally up to 10% 📃 Skills: Python, AWS, Azure, RAG, MCP, Kubernetes, APIs, Databases, Containers, LLMs 🏢 Description: We are seeking an experienced Lead AI Software Developer to design and scale AI-powered applications and integrations. In this role, you will architect backend systems, lead AI agent development, and ensure secure, scalable integration across cloud platforms and enterprise systems. Key Responsibilities Design and maintain middleware, APIs, and connectors integrating AI agents with enterprise systems Architect scalable backend services and cloud-based solutions (AWS/Azure) Develop and optimize multi-agent workflows and adaptive decision logic Fine-tune prompts and LLM-based solutions for domain-specific use cases Lead code reviews, mentor developers, and define development best practices Drive complex API integrations with internal and external AI platforms (incl. MCP servers) Remove technical roadblocks and ensure timely delivery Collaborate with AI, Data, and Platform teams to optimize automation architectures Maintain technical documentation and promote continuous improvement Requirements Degree in Computer Science, AI, Data Science, or similar field 8+ years of software engineering experience, including 5+ years of Python backend development (production) Strong experience building and scaling Python applications Hands-on experience with AI technologies (AI Agents, RAG, MCP) Experience with cloud platforms (AWS or Azure), storage, databases, and AI services Knowledge of containerization and Kubernetes Experience with API integrations and enterprise system connectivity Strong leadership and mentoring experience Excellent communication skills; fluent in Polish and English (min. B2); German is a plus Willingness to travel internationally (~10%) Nice to have: Experience with LangChain, LangGraph, multi-agent systems, prompt engineering, and LLM fine-tuning. What We Offer Work in a global and innovative technology environment Direct impact on enterprise AI and automation solutions Professional development and access to training programs Hybrid work model with flexible hours (central Wroclaw office) Competitive benefits package, cafeteria system, CSR initiatives, and employee clubs

🏢 Summary: Oferta dotyczy roli full-stackowej przy tworzeniu nowego produktu, w którym AI stanowi integralną część rozwiązania i codziennej pracy zespołu. Obejmuje samodzielne dostarczanie funkcjonalności end-to-end w React, TypeScript oraz Kotlinie lub Javie, a także współtworzenie rozwiązań LLM i RAG. Rola zapewnia wpływ na architekturę, standardy techniczne i kierunek produktu. 🗂️ Requirements: Minimum 3 lata komercyjnego doświadczenia w tworzeniu oprogramowania, Bardzo dobra znajomość React, Bardzo dobra znajomość TypeScript, Doświadczenie backendowe w Kotlinie lub Javie, Samodzielne projektowanie i dostarczanie rozwiązań end-to-end, Swobodne korzystanie z anglojęzycznej dokumentacji technicznej, Odpowiedzialność za dostarczane rozwiązania, Proaktywne podejście do pracy produktowej 📃 Skills: React, TypeScript, Kotlin, Java, LLM, RAG 🏢 Description: Tworzymy system nowej generacji, w którym AI jest integralną częścią produktu i codziennego sposobu pracy zespołu. Nie rozwijamy legacy i nie szukamy osoby do realizowania pojedynczych ticketów. Szukamy kogoś kto chce: budować produkt end-to-end i współdecydować o jego kierunku, mieć realny wpływ na architekturę i standardy techniczne, wykorzystywać narzędzia AI (Claude Code, Cursor i inne) w codziennym developmentcie, współtworzyć rozwiązania oparte o modele LLM i RAG, pracować w środowisku dającym dużą autonomię i przestrzeń do podejmowania decyzji. To rola dla osób, które lubią tworzyć nowoczesne produkty, biorą odpowiedzialność za swoje rozwiązania i chcą rozwijać się w praktycznym wykorzystaniu AI w software engineeringu. Profil stanowiska Doświadczenie komercyjne w tworzeniu oprogramowania na poziomie minimum 3 lat Bardzo dobra znajomość React i TypeScript Doświadczenie backendowe w Kotlinie lub Javie Umiejętność samodzielnego projektowania i dostarczania rozwiązań end-to-end Swoboda korzystania z dokumentacji technicznej w języku angielskim Odpowiedzialność za dostarczane rozwiązania i proaktywne podejście do pracy produktowej Mile widziane Doświadczenie w pracy z Node.js, Docker, Kubernetes Znajomość PostgreSQL lub MS SQL Server oraz Apache Kafka Doświadczenie z narzędziami AI oraz rozwiązaniami opartymi o LLM i RAG Wiedza z architektury event-driven Twoje zadania Projektowanie i implementacja funkcjonalności end-to-end – od modelu danych i backendu po nowoczesny frontend Rozwój backendu w Kotlinie i Node.js Tworzenie i rozwój interfejsów użytkownika w React i TypeScript Wykorzystywanie narzędzi AI w codziennym procesie wytwarzania oprogramowania Współtworzenie rozwiązań wykorzystujących modele LLM i architekturę RAG Dbanie o jakość kodu, testy i dokumentację techniczną Uczestnictwo w projektowaniu architektury i podejmowaniu decyzji technologicznych Współpraca z Product Ownerem i designerami przy projektowaniu rozwiązań dla użytkowników Dla Ciebie Prywatna opieka medyczna w Allianz - dostęp do specjalistów i badań diagnostycznych dla Ciebie i Twoich najbliższych System kafeteryjny - możesz wybrać pełne dofinansowanie do karty Multisport czy przeznaczyć środki na kulturę, wypoczynek lub sport i zakupy Możliwość pracy w modelu hybrydowym po okresie wdrożenia (2 dni pracy zdalnej, 3 dni pracy z biura) Możliwość korzystania z zaawansowanych narzędzi AI i Google Workspace Współpraca z różnymi zespołami kompetencyjnymi, która pozwoli Ci na poznanie nowych technologii i poszerzenie wiedzy w obszarze IT Profesjonalny rozwój zawodowy, realny wpływ na podejmowane decyzje biznesowe

🏢 Summary: Lead Agentic AI Engineer role focused on building AI-driven workflows that use location intelligence to take real-world action. The position involves integrating services and data sources, developing reusable agent tooling, and rapidly prototyping reliable LLM-based execution flows. 🗂️ Requirements: Hands-on experience in Rust, TypeScript, and/or Python, Experience with APIs, distributed systems, and service integration, Experience building LLM systems with structured tool interfaces, Strong system design and data-flow knowledge, Degree in Computer Science, Machine Learning, Data Science, related field, or equivalent experience 📃 Skills: Rust, TypeScript, Python, APIs, LLMs 🏢 Description: What's the role? We are looking for a Lead Agentic AI Engineer to build and integrate next-generation AI-driven capabilities that let agents take real-world action through location intelligence. You will work hands-on across modern agentic patterns, implementing how agents interact with our tools, integrating data sources, and enabling reliable execution through structured interfaces. This role is highly execution-focused and experimental, requiring rapid iteration, strong engineering fundamentals, and comfort across multiple technologies. Main responsibilities: System development and integration: Design and implement the logic that enables AI-driven workflows. Integrate multiple data providers and services into unified execution flows, bridging backend systems, models, and user-facing interaction layers Agentic patterns and tooling: Implement and experiment with interaction patterns that let agents act through structured tool interfaces and APIs. Build reusable components for tool handling and execution Rapid experimentation: Prototype, test, and iterate quickly on new approaches. Evaluate trade-offs between performance, cost, and reliability Interaction and sessions: Support reference clients and interaction flows, and implement session handling and context management where needed Who are you? Strong hands-on experience in Rust, TypeScript, and Python (multiple preferred) Experience with APIs, distributed systems, and service integration Comfortable experimenting with modern AI frameworks and tools, and building systems where LLMs act through structured tool interfaces Hands-on mindset with the ability to move quickly from idea to working implementation Solid understanding of system design and data flow Degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent experience What we offer? The opportunity to tackle meaningful and challenging problems A chance to continuously learn and stay on top of the latest technology trends Work that has real-world impact, shaping the future of mobility and technology Regular feedback to help you grow and succeed in your role A collaborative and supportive team environment where your contributions are valued Competitive salary plus bonus Flexible working hours and a hybrid working environment Medical coverage for you and your family This role is eligible for Creative Tax Incentive scheme in Poland” or KUP (Autorskie Koszty Uzyskania Przychodu) Option to work on a B2B contract (please note: benefits, bonus and KUP do not apply in this case) Change is HERE. Apply Now!

🏢 Summary: B2B role for a senior full-stack engineer building scalable client business applications with React, Next.js, TypeScript, Node.js, and PostgreSQL. The role combines architecture, frontend and backend delivery, automated quality practices, and daily AI-assisted engineering with Claude/Codex. It offers 140–180 PLN/h net + VAT and work across multiple client projects. 🗂️ Requirements: 5+ years of commercial web-application development experience, JavaScript, TypeScript, React, Next.js and Node.js experience, Reusable AI workflows, prompts, skills or agentic solutions experience, MCP, tool-integration or multi-agent workflow knowledge, Software architecture and scalable system-design knowledge, Ability to translate business requirements into scalable technical solutions, Ability to review and validate AI-generated code, Independent work, priority management and context switching, Advanced English communication skills 📃 Skills: JavaScript, TypeScript, React, Next.js, Node.js, PostgreSQL, Playwright, Claude, Codex, MCP 🏢 Description: We’re a software house with a team of 25 professionals distributed across three countries. We focus on long-term projects and believe great software comes from ownership, strong collaboration with clients, and developers who care about the quality and business impact of their work. At the.good.code; successful software starts with understanding the business problem first. We work closely with our clients, use AI as an engineering tool rather than a shortcut, and improve the way software is designed and delivered. We focus on long-term collaboration and are looking for people who are curious, open-minded, and motivated to grow together with the business and the products we build. Interested to hear about the projects? You'll join a team building modern business applications powered by AI-assisted engineering. Your work will combine product thinking, software architecture, and collaboration with clients. Rather than focusing only on writing code, you'll use AI tools to design solutions, prepare specifications, review generated code, and help deliver scalable, production-ready software. You'll work across multiple client projects simultaneously, so being comfortable with context switching and managing priorities is an important part of this role. Tech stack: TypeScript, JavaScript, React, Next.js, Node.js, PostgreSQL, Playwright, AI: Claude, Codex, MCP, agentic workflows & reusable AI skills Salary: 140-180 PLN/h net + VAT / B2B Curious about your responsibilities? You will be: working in clients' teams as the equal team member building and developing frontend and backend features using React, Next.js, TypeScript, and Node.js designing application architecture, reusable modules and integration patterns translating business requirements into clear technical specifications for AI coding agents using AI coding agents (Claude/Codex) as part of your daily engineering workflow reviewing, validating, and improving AI-generated code building and improving AI-assisted engineering workflows, including reusable skills, prompts and testing practices contributing to software quality through automated testing, code reviews, and AI-assisted validation taking ownership of technical solutions within your area of responsibility contributing to open source libraries sharing knowledge and helping grow AI engineering practices within the the.good.code; community Ready to apply? First, check if you have: 5+ years of commercial experience building web applications experience with JavaScript, TypeScript, React, Next.js, and backend development using Node.js experience building reusable AI workflows, prompts, skills, or agentic solutions understanding of concepts such as MCP (Model Context Protocol), tool integrations, or multi-agent workflows the ability to translate business requirements into scalable technical solutions understanding of software architecture and scalable system design ability to review and validate AI-generated code rather than relying on it blindly product mindset - you understand the business context behind the features you build and actively look for better solutions ability to work independently, manage priorities, and switch context when needed critical thinking, ownership, and proactive attitude advanced English communication skills (you'll use English every day within the team and directly with international clients) We appreciate, if you have: experience building AI-powered developer tools or internal engineering platforms familiarity with Playwright or other automated testing frameworks contributions to open-source projects or active participation in technical communities willingness to travel occasionally for client workshops We value engineers who : take ownership of their work and deliver what they commit to work independently and manage their time without micromanagement care about quality instead of rushing delivery think about value and impact, not only implementation communicate clearly and work well in a remote environment raise issues early and treat feedback as part of growth enjoy collaboration and maintain a positive team attitude Keen to hear about our recruitment process? Here you go: The application form - fill it out. We really read it! 60-minute HR interview to learn about your experience and motivation 90-minute tech interview with our developers to check your practical skills 45-minute final interview with one of our Founders References check Welcome on board!

🏢 Summary: Two AI Automation Engineer roles focused on building production-grade Generative AI automation for internal helpdesk operations. The role combines LLM and prompt engineering, N8N workflow automation, and AWS platform engineering to deliver reliable, scalable support solutions. 🗂️ Requirements: 3+ years of experience with LLMs, prompt engineering, AI integration patterns, and MCPs, Hands-on experience with Generative AI models and tools, Platform engineering experience with cloud expertise, preferably AWS, Practical experience with N8N or similar automation tools, Hands-on experience with Codex or a similar tool, Experience automating Jira and Slack workflows, Strong troubleshooting skills, Collaborative, team-first approach 📃 Skills: LLMs, MCP, N8N, AWS, Codex, Jira, Slack, GenAI, Prompting 🏢 Description: Our customer is the European online car market, serving over 30 million monthly users and present in 18 countries. We are looking for two AI Automation Engineers to join a fast-moving initiative focused on automating and scaling our internal helpdesk operations through Generative AI. In this role, you'll design, build, and maintain intelligent automation solutions that combine large language models, workflow orchestration, and cloud infrastructure - directly shaping how our internal teams get support and resolve issues faster. This is a hands-on engineering role for someone who is comfortable moving between prompt design, workflow automation, and cloud platform engineering, and who enjoys building production-grade AI systems rather than prototypes. Key Responsibilities: Design and maintain scalable GenAI solutions using N8N and AWS. Develop and continuously enhance clients AI helpdesk bot built on N8N. Collaborate with cross-functional teams (Support, IT, Engineering) to align automation solutions with business goals. Implement infrastructure automation, CI/CD pipelines, and observability practices to keep systems reliable and maintainable. Troubleshoot and resolve issues across integrated systems, ensuring smooth end-to-end automation flows. Must Have: 3+ Experience with LLMs, prompt engineering, AI integration patterns, and MCPs (Model Context Protocol). Hands-on experience with Generative AI models and tools. Platform engineering experience with cloud expertise, preferably AWS. Practical experience with automation tools such as N8N. Strong troubleshooting skills and a collaborative, team-first mindset. Hands-on experience with Codex or similar. Experience automating workflows involving Jira and Slack. Nice to Have: Proficiency in infrastructure as code (CDK - written in TypeScript/Node.js, used to manage AWS services including Amazon Bedrock and Agent Core). Docker/Kubernetes familiarity is a plus, though this project does not currently define specific Kubernetes tasks. CI/CD systems such as GitHub Actions. Experience automating workflows involving Okta and M365.