Staff Full Stack Engineer

🏢 Summary: End-to-end software engineering role focused on building and shipping high-quality product features across frontend and backend in a fast-moving, autonomous team. The position emphasizes pixel-perfect UI/UX, strong architectural thinking, and full ownership from design to deployment. Engineers operate with high trust and direct impact on a learning and research-focused product. 🗂️ Requirements: Expert-level software engineering experience, Strong proficiency in TypeScript, Experience with SvelteKit for frontend development, Experience with Node.js for backend development, Experience with Fastify, Experience with PostgreSQL, Experience with DDD patterns, Experience with CQRS patterns, Experience with Playwright for testing, Ability to build pixel-perfect UI implementations, Ability to design and ship end-to-end features across frontend and backend, Experience working with queues, Basic proficiency in Python for ML components 📃 Skills: TypeScript, SvelteKit, Tailwind, DaisyUI, Playwright, Node.js, Fastify, PostgreSQL, Python, DDD, CQRS, Queues 🏢 Description: ABOUT THE ROLE We're looking for an expert software engineer with an exceptional eye for UI/UX to join a small, high-trust engineering team. You'll own features end-to-end — from pixel-perfect frontend work to shipping backend functionality when needed. This is not a siloed role. You'll move fast, make real decisions, and have direct impact on a product used by people who care deeply about learning and research. We don't have managers. We have engineers who own their work. TECH STACK The stack is heavily TypeScript. On the frontend: SvelteKit, Tailwind, DaisyUI, and Playwright, with DDD and CQRS patterns. On the backend: Node.js, Fastify, PostgreSQL, and queues. ML components are in Python. The stack is pragmatic, not dogmatic — tools may shift as the product evolves. WHAT WE LOOK FOR Elite communication You set accurate expectations and live up to them. No surprises, no ambiguity about status or blockers. Deep resilience Bugs, crises, tough reviews — you have a large buffer before stress impacts your output. You don't crack under pressure. No ego We're here to build something great, not to manage insecurities. The best idea wins, regardless of who had it. Product mastery You understand the engineering principles behind the best software ever made — and care deeply about the difference between good and great. Independent and obsessive by nature You go deep on everything you touch. You're a lifelong learner who can't help but care about quality. Being an ex-founder is a bonus. ENGINEERING CULTURE Optional code reviews We trust you. Merge when you're ready. Ask for a second pair of eyes when you want one. Radical autonomy We don't second-guess your decisions. You own the call. High-bandwidth collaboration Constant communication means everyone has context without formal gates or status meetings. Direct feedback Code reviews are blunt, concise, and respectful. We say what we mean. Ruthless efficiency We aggressively adopt any tool — AI included — that increases speed and leverage. Limited frontend test coverage Supplemented by strong architecture and top talent, not bureaucratic QA processes. RECRUITMENT PROCESS Recruiter screening — a short intro call to align on basics. 1-on-1 with the engineering lead — a conversation about how you think and work. Technical challenge (~4 hours) — use AI, Google, or any resource you need. We care about the result, not the method. One-month paid contract — with the possibility to extend indefinitely. Honest, frequent feedback throughout so you always know where you stand. COMPENSATION & BENEFITS Salary $100,000 – $150,000 depending on experience. Equity and profit share Core team members receive both equity and profit share as part of the compensation package. Unlimited PTO Use your own judgement — we won't count days. Steep learning curve You'll grow faster here than almost anywhere else — by design, not accident. Real ownership No managers capping your authority. You own your work end-to-end, with the full trust of the team behind you.

🏢 Summary: Senior C# / .NET Engineer role focused on maintaining and evolving a large, business-critical enterprise/SaaS system with complex domain logic. The position involves working with legacy codebases, solving complex technical issues, and contributing to architectural decisions for scalable, high-load systems. The engineer will also support frontend integration using Angular technologies when needed. 🗂️ Requirements: Strong commercial experience with C#, .NET development experience, Knowledge of Angular or AngularJS, Knowledge of TypeScript, Experience with large enterprise or SaaS systems, Experience working with legacy codebases, Experience solving complex technical problems, Strong debugging skills, Experience with scalable and high-load architectures, Ability to work with large and unfamiliar codebases 📃 Skills: C#, .NET, Angular, AngularJS, TypeScript, SQL, REST, OOP 🏢 Description: We are looking for a strong C# / .NET engineer to join a project focused on large enterprise and SaaS systems. This role is suited for an experienced engineer who is comfortable working with complex business logic, large codebases, and mature systems, and who takes ownership of technical decisions rather than just implementing tasks. About the Project: The project is a long-running, business-critical system with a complex domain and significant technical depth. You will work on maintaining and evolving an existing platform, including improving scalability, performance, and reliability. A substantial part of the work involves understanding legacy code, debugging complex issues, and contributing to the system as a key technical member of the team. Responsibilities: Design, develop, and maintain backend solutions using C# / .NET; Work with complex business logic in large enterprise or SaaS environments; Analyze, understand, and improve existing and legacy codebases; Solve complex technical and production issues; Collaborate closely with other engineers and stakeholders; Contribute to architectural decisions for scalable and high-load systems; Support frontend integration using Angular / AngularJS and TypeScript where needed. Qualifications: Strong commercial experience with C# / .NET; Knowledge of Angular or AngularJS and TypeScript; Experience working on large enterprise systems and/or SaaS platforms; Experience playing a key role in projects (e.g. key developer, leading engineer, technical owner); Strong experience solving complex technical problems; Experience working with legacy code; Very good debugging skills; Ability to work effectively with large and unfamiliar codebases; Experience with scalable architectures and high-load systems; An engineering mindset with the ability to deeply understand systems and make mature technical decisions. Recruitment Process: Initial interview with our recruitment team; Technical interview with the client; Final decision and offer. Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.

🏢 Summary: Senior full-stack C#/.NET engineering role on a business-critical enterprise/SaaS platform. The position combines backend, Angular front-end, and Cordova mobile development, with ownership of architecture, legacy-system evolution, scalability, performance, and production issue resolution. 🗂️ Requirements: 8+ years of commercial full-stack C#/.NET development experience with Angular or AngularJS, Extensive Angular, JavaScript, and TypeScript experience, Hands-on Cordova experience for iOS and Android applications, API development expertise with .NET, Software architecture and design-pattern experience, Relational database, SQL querying, and optimization experience, Git and agile methodology familiarity, Experience with large enterprise systems or SaaS platforms, Experience as a key developer, leading engineer, or technical owner, Strong complex-problem-solving and debugging skills, Ability to work with large, unfamiliar, and legacy codebases, Experience with scalable architectures and high-load systems, Ability to make mature technical decisions 📃 Skills: C#, .NET, Angular, AngularJS, JavaScript, TypeScript, Cordova, iOS, Android, SQL, SQLServer, Git 🏢 Description: We are looking for a strong C#/.NET engineer to join a project focused on large enterprise and SaaS systems. This role is suited for an experienced engineer who is comfortable working with complex business logic, large codebases, and mature systems, and who takes ownership of technical decisions rather than just implementing tasks. About the Project The project is a long-running, business-critical system with a complex domain and significant technical depth. You will work on maintaining and evolving an existing platform, including improving scalability, performance, and reliability. A substantial part of the work involves understanding legacy code, debugging complex issues, and contributing to the system as a key technical member of the team. Responsibilities • Design, develop, and maintain backend solutions using C#/.NET • Build and maintain cross-platform mobile applications using the Cordova framework (iOS and Android) • Develop and maintain front-end features using Angular and TypeScript • Design and implement APIs using the .NET framework • Work with complex business logic in large enterprise or SaaS environments • Analyze, understand, and improve existing and legacy codebases • Solve complex technical and production issues • Collaborate closely with other engineers and stakeholders • Contribute to architectural decisions for scalable and high-load systems Qualifications • 8+ years of solid commercial experience with full-stack .NET/C# development combined with Angular or AngularJS • Extensive experience with Angular, JavaScript, and TypeScript for front-end development • Hands-on experience with the Cordova framework for building mobile applications (iOS and Android); native mobile development experience is not required • Expertise in API development using the .NET framework • Strong understanding of software architecture principles and experience applying design patterns to real-world projects • Hands-on experience with relational databases (e.g. SQL Server) and SQL for data querying and optimization • Experience with version control systems (e.g. Git) and familiarity with agile methodologies • Experience working on large enterprise systems and/or SaaS platforms • Experience playing a key role in projects (e.g. key developer, leading engineer, technical owner) • Strong experience solving complex technical problems and very good debugging skills • Ability to work effectively with large and unfamiliar codebases • Experience with scalable architectures and high-load systems • An engineering mindset with the ability to deeply understand systems and make mature technical decisions Recruitment Process • Initial interview with the recruitment team • Technical interview with the client • Final decision and offer

🏢 Summary: Senior C#/.NET Full Stack Engineer role focused on maintaining and evolving a large, business-critical enterprise/SaaS system with complex domain logic. The position involves backend and frontend development, mobile applications with Cordova, API design, and architectural contributions for scalable, high-load systems. The engineer will work extensively with legacy code, performance optimization, and complex technical problem-solving. 🗂️ Requirements: 8+ years commercial experience with C# and .NET, Strong experience with Angular or AngularJS, Extensive knowledge of JavaScript and TypeScript, Hands-on experience with Cordova for iOS and Android, Experience in API development using .NET, Experience with relational databases and SQL, Experience with Git version control, Experience working on large enterprise or SaaS systems, Strong debugging and complex problem-solving skills, Ability to work with large and legacy codebases, Experience with scalable and high-load architectures, Understanding of software architecture and design patterns 📃 Skills: C#, .NET, Angular, AngularJS, JavaScript, TypeScript, Cordova, iOS, Android, SQL, SQLServer, Git, REST, APIs 🏢 Description: We are looking for a strong C#/.NET engineer to join a project focused on large enterprise and SaaS systems. This role is suited for an experienced engineer who is comfortable working with complex business logic, large codebases, and mature systems, and who takes ownership of technical decisions rather than just implementing tasks. About the Project: The project is a long-running, business-critical system with a complex domain and significant technical depth. You will work on maintaining and evolving an existing platform, including improving scalability, performance, and reliability. A substantial part of the work involves understanding legacy code, debugging complex issues, and contributing to the system as a key technical member of the team. Responsibilities: Design, develop, and maintain backend solutions using C#/.NET; Build and maintain cross-platform mobile applications using the Cordova framework (iOS and Android); Develop and maintain front-end features using Angular and TypeScript; Design and implement APIs using the .NET framework; Work with complex business logic in large enterprise or SaaS environments; Analyze, understand, and improve existing and legacy codebases; Solve complex technical and production issues; Collaborate closely with other engineers and stakeholders; Contribute to architectural decisions for scalable and high-load systems. Qualifications: 8+ years of solid commercial experience with full stack .NET/C# development combined with Angular or AngularJS; Extensive experience with Angular, JavaScript, and TypeScript for front-end development; Hands-on experience with the Cordova framework for building mobile applications (iOS and Android); native mobile development experience is not required; Expertise in API development using the .NET framework; Strong understanding of software architecture principles and experience applying design patterns to real-world projects; Hands-on experience with relational databases (e.g. SQL Server) and SQL for data querying and optimization; Experience with version control systems (e.g. Git) and familiarity with agile methodologies; Experience working on large enterprise systems and/or SaaS platforms; Experience playing a key role in projects (e.g. key developer, leading engineer, technical owner); Strong experience solving complex technical problems and very good debugging skills; Ability to work effectively with large and unfamiliar codebases; Experience with scalable architectures and high-load systems; An engineering mindset with the ability to deeply understand systems and make mature technical decisions. Recruitment Process: Initial interview with our recruitment team; Technical interview with the client; Final decision and offer. Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.

🏢 Summary: Engineering Manager role leading the RMS Performance & Batches team responsible for critical database processes, batch processing stability, and system performance within IT Logistics. The position focuses on ensuring reliability and optimization of high-volume operational data systems while driving automation and AI-first engineering practices. The role combines technical leadership with end-to-end ownership of performance, availability, and continuous improvement. 🗂️ Requirements: Experience leading engineering teams working on business-critical systems, Experience with database-driven systems and high-volume data processing, Knowledge of system performance optimization and batch processing, Experience with system reliability, availability and operational quality metrics, Ability to manage technical risk in critical production environments, Experience implementing automation in development and operations, Experience using AI tools in engineering workflows, Experience improving development, testing and maintenance processes 📃 Skills: SQL, Databases, Performance, Batch, RMS, Automation, AI, Metrics, Optimization, Data 🏢 Description: Engineering Manager (IT Logistics) Tryb pracy: hybrydowo/ zdalnie Sprawdź swoją szafę! Na pewno masz w niej choć jeden produkt marek Reserved, Mohito, Cropp, House lub Sinsay. A wiesz, że kupiłeś/aś go właśnie dzięki nam? Silky Coders od lat rozwija rozwiązania IT, e-commerce i data science dla Grupy LPP , tworząc technologie, z których każdego dnia korzystają miliony użytkowników . To również dzięki Silky rośnie satysfakcja klientów, a wolumen transakcji online pozytywnie zaskakuje nas każdego dnia. Nasze wartości zamykają się w akronimie FAST . To nie tylko tempo pracy — to nasze DNA. Działamy zwinnie, podejmujemy szybkie i odpowiedzialne decyzje, testujemy, iterujemy i dowozimy realną wartość. Odwaga, pasja i odpowiedzialność za efekt są dla nas tak samo ważne jak jakość rozwiązań. Pracujemy w duchu AI FIRST — aktywnie wykorzystujemy AI i nowe technologie, by usprawniać codzienną pracę i szybciej dostarczać wartość. Szukamy osób, które chcą działać odpowiedzialnie, mieć realny wpływ i wspólnie z nami rozwijać technologie dla milionów użytkowników. O obszarze: Dołącz do obszaru IT Logistics w Silky Coders jako Engineering Manager zespołu RMS Performance & Batches , odpowiedzialnego za krytyczne procesy bazodanowe, wydajność oraz stabilność przetwarzań batchowych w obszarze RMS. Zespół pracuje blisko baz danych, dużych wolumenów danych operacyjnych i procesów, które mają bezpośredni wpływ na codzienne działanie systemu RMS oraz powiązanych procesów biznesowych. To obszar, w którym kluczowe są niezawodność, przewidywalność, jakość operacyjna i zdolność szybkiego reagowania na problemy wydajnościowe. Pracujemy w modelu odpowiedzialności za rozwiązania end-to-end, ale chcemy wzmacniać go podejściem AI-first, rozumianym jako praktyczne wykorzystanie narzędzi AI i agentów w codziennej pracy inżynieryjnej. Szukamy osoby, która poprowadzi zespół techniczny przez zmianę sposobu pracy: od klasycznego podejścia bazodanowo-operacyjnego w stronę bardziej agentowego, zautomatyzowanego i efektywnego modelu dostarczania rozwiązań. Co jest dla nas ważne? Doświadczenie w prowadzeniu zespołów inżynieryjnych pracujących z systemami krytycznymi biznesowo, szczególnie w obszarach wymagających stabilności, wydajności i wysokiej jakości operacyjnej. Praktyczne rozumienie procesów wytwarzania, utrzymania i optymalizacji systemów, w tym pracy z metrykami jakości, dostępności, wydajności i efektywności zespołu. Umiejętność podejmowania decyzji w środowisku, w którym trzeba jednocześnie dbać o stabilność procesów krytycznych, tempo delivery i sensowne wdrażanie nowych narzędzi pracy. Umiejętność prowadzenia ludzi przez zmianę technologiczną i procesową, w tym wzmacniania odpowiedzialności, samodzielności oraz gotowości do pracy z AI jako narzędziem inżynieryjnym. Umiejętność budowania kultury eksperymentowania, uczenia się i zdrowego sceptycyzmu wobec automatycznie generowanych rozwiązań. Doświadczenie w identyfikowaniu usprawnień w procesach technicznych, operacyjnych lub zespołowych, szczególnie takich, które ograniczają powtarzalną pracę i zwiększają przewidywalność delivery. Co będziesz robić: Prowadzić zespół RMS Performance & Batches, dbając o rozwój ludzi, jakość współpracy, odpowiedzialność za rezultaty oraz stabilność pracy zespołu. Mierzyć i poprawiać efektywność zespołu, wykorzystując dane, metryki techniczne i operacyjne oraz narzędzia AI wspierające analizę pracy i identyfikację usprawnień. Rozwijać kompetencje zespołu w obszarze performance engineering, pracy z bazami danych, automatyzacji, narzędzi AI oraz agentowego podejścia do developmentu. Wspierać ludzi w przechodzeniu od manualnych, powtarzalnych sposobów pracy do bardziej świadomego wykorzystania automatyzacji, agentów AI i narzędzi wspierających inżynierię. Budować zespół zdolny do pracy z systemami krytycznymi, dużymi wolumenami danych operacyjnych i nowoczesnymi narzędziami wspierającymi development, analizę oraz utrzymanie. Realizować roadmapę zespołu we współpracy z biznesem, EM, PM i architektami, dbając o terminowość, jakość oraz mierzalny wpływ zmian na stabilność i wydajność procesów RMS. Zapewniać stabilność i dostępność krytycznych procesów batchowych, ograniczać ryzyko operacyjne, skracać czas analizy problemów oraz systematycznie redukować dług techniczny. Wdrażać usprawnienia w procesach wytwarzania, testowania, dokumentowania i utrzymania rozwiązań, ze szczególnym naciskiem na odpowiedzialne wykorzystanie narzędzi AI i agentów. Identyfikować i minimalizować ryzyka techniczne, wydajnościowe i operacyjne związane z procesami batchowymi, zależnościami systemowymi oraz automatyzacją pracy zespołu. Ściśle współpracować z EM, PM, architektami, zespołami operacyjnymi i technicznymi, aby łączyć wymagania biznesowe z realiami systemów krytycznych, performance i przetwarzania danych operacyjnych. Balansować stabilność istniejących procesów z wdrażaniem nowych sposobów pracy, automatyzacji i agentowego wsparcia developmentu. Co zyskasz, gdy do Nas dołączysz: Umowę o pracę lub kontrakt B2B Pracę w trybie stacjonarnym/hybrydowym/ zdalnym Parking samochodowy Program HeLPP-program wellbeingowy obejmujący bezpłatne i anonimowe doradztwo w obszarach: prawnym, psychologicznym i finansowym Opieka medyczna na preferencyjnych warunkach (Lux Med albo EnelMed do wyboru) -dbamy nie tylko o Ciebie, ale i o Twoich bliskich! Budżet szkoleniowy, dzięki któremu jesteś na bieżąco z nowinkami technologicznymi i nieustannie się rozwijasz Budżet integracyjny–dbamy o to, by regularnie spotykać się z zespołem i wspólnie spędzać czas Kody zniżkowe - 25% na zakupy w salonach marek LPP: (Reserved, Mohito, Cropp, House i Sinsay) – którymi możesz dzielić się z bliskimi, także online Program Poleceń Pracowniczych– dzięki któremu, masz wpływ na to z kim pracujesz Godziny pracy– jesteś tzw. rannym ptaszkiem i lubisz zaczynać o 7? Ekstra! Chcesz pospać dłużej i zacząć o 9? Nie ma problemu! Ważne, żeby być dostępnym, w naszych core hours między 9 a 15 Grupy sportowe #silkyteam – aktualnie grupa rowerowa i biegowa Jeśli lubisz aktywnie spędzać czas, możesz wspólnie z bliskimi skorzystać z wybranej oferty sportowo-rekreacyjnej: korzystając z programu Multisport Rozmowa telefoniczna z rekruterką (maksymalnie 20 minut) – krótka rozmowa, byśmy wzajemnie poznali swoje oczekiwania i doświadczenia. Etapy rekrutacji: Rozmowa telefoniczna z rekruterką (maksymalnie 20 minut) – krótka rozmowa, byśmy wzajemnie poznali swoje oczekiwania i doświadczenia. Spotkanie rekrutacyjne online z Enterprise Architektem oraz Dyrektorem Działu oraz rekruterką (2h) Omówienie w formie prezentacji wybranych case studies managerskich, opracowanych wcześniej jako praca domowa. To dla nas okazja, by zobaczyć Twoje podejście do realnych wyzwań (2h) Decyzja + feedback

🏢 Summary: Python-focused backend role responsible for building scalable AI-driven services that integrate large language models with Unreal Engine. The position centers on developing reliable APIs, orchestrating AI pipelines, and ensuring high code quality in a fast-paced startup environment. It involves close collaboration with engine teams to deliver robust AI infrastructure used by game developers worldwide. 🗂️ Requirements: 5+ years professional Python experience, Strong knowledge of clean code principles (DRY, SOLID), Experience with regression, unit and integration testing, Experience building APIs and microservices, Experience with serverless architectures, Hands-on integration of LLMs or AI workflows into production systems, Experience refactoring and maintaining backend systems, Fluent English (min. B2), Polish language proficiency for communication 📃 Skills: Python, APIs, Microservices, Serverless, LLMs, Langchain, Agno, AWS, GCP, Docker, Unreal, Git, Testing 🏢 Description: About Ludus AI We provide the infrastructure for AI within Unreal Engine that extends beyond basic implementation. With 26 000+ users and partnerships with industry giants, Ludus AI is automating C++, Blueprints, and 3D asset generation. We’re looking for a Developer who wants to go under the hood of the multimodal AI system, not just use it in their everyday work. Why this role exists We need a Python-focused developer to act as the engine room of our AI services. You will be responsible for shipping reliable backend features and AI-adjacent systems that bridge the gap between large models and the Unreal Engine environment. This is a role for someone who values fast product iteration but refuses to compromise on code reliability. What you will do Scalable Backend: Develop and maintain high-performance Python services and APIs that power Ludus AI tools. AI Orchestration: Integrate and iterate on AI components, LLM pipelines, and system integrations. Code Quality: Write robust tests (unit/integration) and refactor existing logic to ensure long-term maintainability and performance. Fast Iteration: Collaborate closely with the engine team to solve technical hurdles and ship product improvements in a high-speed startup rhythm. Requirements Python Mastery: 5+ years of professional experience with Python. You know the language's strengths and its pitfalls. Quality Mindset: Deep respect for regression testing and clean code habits (DRY, SOLID). Modern Backend: Comfortable working with APIs, microservices, and serverless architectures. AI Integration: Hands-on experience integrating AI-assisted workflows or LLMs into existing codebases. Autonomy: Strong remote work organization and independence. Communication: Solid English (min. B2, C1 preferred) & znajomość języka polskiego pozwalająca na swobodną komunikację. Culture: A solid sense of humor (memes are our second language). Nice to have Pragmatic "ship-it" mindset with AI libraries (e.g., Langchain, Agno, or similar). Cloud & DevOps experience (AWS/GCP, Docker). Curiosity about Unreal Engine workflows or gamedev tooling. What we offer Real Impact: Your code will be used by thousands of gamedevs globally to shape the future of Unreal Engine development. Total Autonomy: One weekly sync, no micro-management, 100% remote (anywhere). Deep Tech Stack: Work on the intersection of AI and low-level Engine integration. Stability: Fully funded startup with a proven product-market fit and global ambitions. Flexible Schedule: You are the master of your own time. Great Atmosphere: A small, tight-knit crew of passionate individuals who value changing the world while having a blast. How to apply? If you're ready to join our team, send your CV along with a few sentences about yourself, a link to your portfolio and code samples (github link) using the form below! ❗Important: As part of your application, please include description of how you use AI tools during your daily work, and models/frameworks you have used so far! We use AI as the foundation of our work. Applications without the information above might not be taken into consideration

🏢 Summary: Engineering role focused on maintaining and improving a production Ruby on Rails system in a sustainability-focused product. The position involves triaging client requests, resolving full-stack production incidents, and collaborating with Product and Customer teams in a dynamic, ticket-driven environment. It emphasizes system reliability, root-cause analysis, and continuous improvement of support processes. 🗂️ Requirements: 5+ years of Ruby on Rails experience, Strong experience with production systems, Ability to debug and perform root-cause analysis, Full-stack capability (backend, integrations, basic infrastructure), Experience handling incidents and production issues, Ability to work in on-call rotations, Experience with CI/CD pipelines, Experience with cloud infrastructure, Strong understanding of relational databases 📃 Skills: Ruby, Rails, Hotwire, Turbo, AWS, Docker, PostgreSQL, Datadog, GitHub, CI/CD, Jira, Slack 🏢 Description: Do you care about making an impact on sustainability? Help consumers and brands better understand their environmental impact and make better choices for the planet! 🌎 This role sits at the intersection of engineering, product, and client interaction. You will work in a dynamic, ticket-driven environment where priorities shift based on real usage, incidents, and business needs. What you’ll do: Handle and triage incoming client requests (Jira, Slack, calls) Investigate and resolve incidents across the full stack (backend, frontend, integrations) Work on production issues - from quick fixes to deeper root-cause analysis Collaborate with Product and Customer teams to understand and address user needs Implement small improvements and fixes independently Contribute to improving incident handling and support processes Participate in on-call rotations and ensure system reliability Provide technical input on feasibility and impact of client requests Tech stack: Ruby on Rails (monolith) Hotwire / Turbo AWS Docker GitHub Actions (CI/CD) PostgreSQL Datadog What are we looking for? 🎯 5+ years of experience with Ruby on Rails Strong experience working with production systems Excellent debugging and problem-solving skills Ability to work across the stack (backend, integrations, basic infra) Strong ownership and communication skills Comfortable working in a dynamic, reactive environment Nice-to-have: Experience in support / maintenance / -like roles Familiarity with monitoring tools (e.g. Datadog) Experience with AWS What you get: Real impact on system stability and client experience High ownership and autonomy in decision-making Exposure to a wide range of technical challenges Close collaboration with product and client-facing teams Opportunity to deeply understand how the system behaves in production A role suited for engineers who enjoy problem-solving over repetitive feature delivery It is not the best fit if: You are looking for a purely feature-driven role with long-term, predictable roadmaps You get frustrated by frequent context switching or changing priorities You expect a clean, well-structured codebase with minimal technical debt Sounds like a fit? Let’s talk! 🚀

🏢 Summary: Role focused on building AI infrastructure for LLM context management, including text processing pipelines, retrieval systems, and agent orchestration. The position involves working on tokenization, embeddings, ranking algorithms, and benchmark-based evaluation in short development iterations. Candidates will develop production-ready NLP and retrieval systems with measurable impact on quality and cost. 🗂️ Requirements: Python, Text processing, Tokenization, Chunking, Embeddings, Algorithm design, Linux, Git, LLM, NLP, Information retrieval, BM25, Vector search, Precision, Recall, NDCG, Commercial experience, Open-source contributions 📃 Skills: Python, Linux, Git, LLM, NLP, BM25, SQL, MinHash, SimHash, RAG, Embeddings, Tokenization, Chunking, Retrieval, Ranking, Benchmarking, Copilot, Claude, Codex, ChatGPT, Gemini 🏢 Description: BlockWise — kim jesteśmy W BlockWise budujemy produkty technologiczne w krótkich, intensywnych cyklach. Testujemy, wdrażamy, mierzymy efekt i szybko poprawiamy to, co nie działa. Specjalizujemy się w rozwiązaniach AI, automatyzacji, narzędziach wewnętrznych oraz projektach z pogranicza AI infrastructure, LLM i agentów. Zaczęliśmy 5 lat temu, dziś jest nas ponad 50 osób  i dalej rośniemy, zachowując szybkie decyzje, mało biurokracji i dużą odpowiedzialność po stronie developerów. O tej roli Szukamy osoby do małego, mocnego technicznie zespołu, który buduje infrastrukturę do zarządzania kontekstem dla modeli językowych - systemy, które decydują, co trafia do okna kontekstu LLM-a, w jakiej formie i dlaczego. To praca na styku przetwarzania tekstu, information retrieval i architektury agentów. To nie jest rola "podpinam API OpenAI do CRUD-a". Pracujemy blisko fundamentów: tokeny, embeddingi, algorytmy rankingu, ewaluacja jakości na realnych benchmarkach. Efekty Twojej pracy będą mierzalne w twardych metrykach, nie w liczbie zamkniętych ticketów. Twoje codzienne zadania rozwój pipeline'ów przetwarzania tekstu i kontekstu: segmentacja, deduplikacja, scoring i selekcja treści pod okno kontekstu LLM, praca nad komponentami information retrieval: indeksowanie, ranking, embeddingi, ewaluacja jakości wyszukiwania, rozwój i testowanie komponentów agentowych: pętle tool-use, zarządzanie pamięcią i kontekstem, orkiestracja, budowanie i uruchamianie ewaluacji na benchmarkach, mierzymy wpływ każdej zmiany na jakość i koszt, szybkie prototypowanie i przekształcanie prototypów w utrzymywalne systemy produkcyjne, praca w krótkich iteracjach z bezpośrednim feedbackiem od doświadczonego lidera technicznego. Wymagania - twardy rdzeń mocny Python : struktury danych, złożoność, profiling, czytelny i testowalny kod to weryfikujemy dokładnie, praktyczne doświadczenie z przetwarzaniem tekstu : tokenizacja, chunking, embeddingi, praca z dużymi wolumenami tekstu, algorytmiczne myślenie : umiesz zaprojektować i uzasadnić algorytm segmentacji, deduplikacji albo scoringu, a nie tylko użyć gotowej biblioteki, swobodna praca w środowisku Linux + git, znajomość i wykorzystanie tokenizerów, 1-2 roku doświadczenia komercyjnego lub bardzo mocne projekty własne w obszarze LLM/NLP. Przynajmniej jedno z poniższych (im więcej, tym lepiej) znajomość architektury agentów LLM: tool use, planowanie, zarządzanie kontekstem  z własnej praktyki, nie z tutoriali, doświadczenie z deduplikacją na skalę (np. MinHash/SimHash) lub systemami rankingu, własny projekt RAG / agentowy, który realnie działał i był przez kogoś używany, kontrybucje open source w obszarze NLP/LLM tooling. podstawy information retrieval: BM25, wyszukiwanie wektorowe, metryki jakości (precision/recall, NDCG), Szukamy Ciebie, jeśli interesuje Cię, jak LLM-y działają pod spodem, a nie tylko co zwraca API, lubisz problemy, gdzie odpowiedź trzeba zmierzyć, a nie zgadnąć, bierzesz odpowiedzialność za rezultat, a nie za wykonanie listy instrukcji, korzystasz z narzędzi AI realnie w pracy i nauce, nie "z ciekawości", umiesz jasno powiedzieć, co działa, co nie działa i gdzie utknąłeś/aś. To może nie być miejsce dla Ciebie, jeśli potrzebujesz dokładnie rozpisanych tasków na tygodnie do przodu, wolisz pracować wyłącznie na gotowych frameworkach bez rozumienia, co robią, oczekujesz korporacyjnej struktury i długich procesów akceptacji. U nas dużo się dzieje, a najlepsze osoby szybko dostają odpowiedzialność. Dla właściwych ludzi to duża szansa. Dla szukających spokoju i pełnej przewidywalności - prawdopodobnie nie. Co oferujemy 9 000 – 12000 zł na umowie zlecenie/B2B (poziom zależny od wyniku rozmowy technicznej), 24 płatne dni wolne od świadczenia usług w roku, pracę nad produktem AI infrastructure z mierzalnymi wynikami na publicznych benchmarkach, bezpośrednią współpracę z liderem technicznym - szybki wzrost kompetencji, zero pośredników, elastyczne godziny, biuro w Warszawie przy ul. Połczyńskiej 112A, parking, dostęp do płatnych narzędzi AI (Claude, Copilot, Codex, ChatGPT, Gemini i in.), pracę na nowoczesnej infrastrukturze, w tym klastrach B200/B300, budżet szkoleniowy i udział w konferencjach branżowych, firmowe hackatony. Proces rekrutacyjny 1. Pierwsza rozmowa telefoniczna Porozmawiamy o ofercie, Twoim doświadczeniu, oczekiwaniach i tym, jak pracuje się w BlockWise. Czas: 10 minut 2. Rozmowa Finalna - techniczna online Porozmawiamy o Pythonie, Linuxie, SQL, podstawach AI/ML, sposobie rozwiązywania problemów i Twoich dotychczasowych projektach. Będzie nas interesować nie tylko to, co znasz, ale też jak myślisz, debugujesz i dochodzisz do rozwiązania. Czas: około 30 minut. Cały proces rekrutacyjny zajmie maksymalnie 2 tygodnie.

🏢 Summary: Python-focused backend developer role building and maintaining scalable AI-driven services that integrate large language models with Unreal Engine. The position centers on developing reliable APIs, orchestrating AI pipelines, and ensuring high code quality in a fast-paced startup environment. The work bridges multimodal AI systems and engine-level integrations used by game developers worldwide. 🗂️ Requirements: 2–4 years professional experience with Python, Strong understanding of Python language and common use cases, Experience with APIs, microservices, and serverless architectures, Hands-on integration of LLMs or AI-assisted workflows into codebases, Experience with regression testing and clean code principles (DRY, SOLID), Ability to write unit and integration tests, Professional experience building backend services, English B2+ and Polish for effective communication 📃 Skills: Python, APIs, Microservices, Serverless, LLM, Langchain, Agno, AWS, GCP, Docker, RegressionTesting, UnitTesting, IntegrationTesting, SOLID, DRY 🏢 Description: About Ludus AI We provide the infrastructure for AI within Unreal Engine that extends beyond basic implementation. With 26 000+ users and partnerships with industry giants, Ludus AI is automating C++, Blueprints, and 3D asset generation. We’re looking for a Developer who wants to go under the hood of the multimodal AI system, not just use it in their everyday work. Why this role exists We need a Python-focused developer to act as the engine room of our AI services. You will be responsible for shipping reliable backend features and AI-adjacent systems that bridge the gap between large models and the Unreal Engine environment. This is a role for someone who values fast product iteration but refuses to compromise on code reliability. What you will do Scalable Backend: Develop and maintain high-performance Python services and APIs that power Ludus AI tools. AI Orchestration: Integrate and iterate on AI components, LLM pipelines, and system integrations. Code Quality: Write robust tests (unit/integration) and refactor existing logic to ensure long-term maintainability and performance. Fast Iteration: Collaborate closely with the engine team to solve technical hurdles and ship product improvements in a high-speed startup rhythm. Requirements Python Experience: 2–4 years of professional experience with Python. Good understanding of the language and its common use cases. Quality Mindset: Familiar with regression testing and clean code principles (DRY, SOLID). Modern Backend: Comfortable working with APIs, microservices, and serverless architectures. AI Integration: Hands-on experience integrating AI-assisted workflows or LLMs into existing codebases. Autonomy: Comfortable working remotely and coordinating with the team. Communication: Solid English (min. B2, C1 preferred) & znajomość języka polskiego pozwalająca na swobodną komunikację. Culture: A solid sense of humor (memes are our second language). Nice to have Pragmatic "ship-it" mindset with AI libraries (e.g., Langchain, Agno, or similar). Cloud & DevOps experience (AWS/GCP, Docker). Curiosity about Unreal Engine workflows or gamedev tooling. What we offer Real Impact: Your code will be used by thousands of gamedevs globally to shape the future of Unreal Engine development. Total Autonomy: One weekly sync, no micro-management, 100% remote (anywhere). Deep Tech Stack: Work on the intersection of AI and low-level Engine integration. Stability: Fully funded startup with a proven product-market fit and global ambitions. Flexible Schedule: You are the master of your own time. Great Atmosphere: A small, tight-knit crew of passionate individuals who value changing the world while having a blast. How to apply? If you're ready to join our team, send your CV along with a few sentences about yourself, a link to your portfolio and code samples (github link) using the form below! ❗Important: As part of your application, please include description of how you use AI tools during your daily work, and models/frameworks you have used so far! We use AI as the foundation of our work. Applications without the information above might not be taken into consideration

🏢 Summary: Frontend Engineer role focused on designing and building new, UX-driven product workflows for an AI brand-visibility platform. The position combines product design judgment with hands-on React, Next.js, and TypeScript development, including dashboards, data visualizations, and graph-oriented experiences. Requires working 11 AM–7 PM Poland time to overlap with UK and US teams. 🗂️ Requirements: 5+ years of professional frontend or UX design experience, Production experience with React and TypeScript, Portfolio or work history demonstrating UX/product design and frontend implementation, Proficiency in Figma and responsive UI development, Experience with component architecture, state management, forms, tables, filters, and interactive data visualization, Ability to use AI-assisted development tools with sound technical judgment, Strong spoken and written English, Availability to work 11 AM–7 PM Poland time 📃 Skills: React, Next.js, TypeScript, Figma, Storybook, AWS, FastAPI, PostgreSQL, Neo4j, Python 🏢 Description: About the Project The platform helps brands understand and improve how they appear in AI-generated answers. It monitors mentions in ChatGPT, Google AI Overviews, Claude, Grok, and other AI models; predicts the impact of fixes; and automates workflows to improve and demonstrate visibility over time. This is a net-new-features role, with responsibility from scoping through implementation rather than maintaining existing screens. A major focus is simplifying convoluted user flows across dashboards and workflows while the wider team moves toward scalable, cloud-based microservices on AWS. Responsibilities • Own the UX and frontend implementation of core product workflows, including KPI dashboards, prompt and citation analysis, knowledge graph exploration, recommendation tracking, and reporting experiences. • Simplify complex user flows and translate ambiguous product requirements into wireframes, high-fidelity designs, reusable components, and production-ready frontend code. • Build and maintain responsive applications using React, Next.js, and TypeScript; use AI-assisted tools while maintaining strong review and quality standards. • Create clear visualizations for visibility share, lift, citation coverage, signal strength, and relationship data without oversimplifying the underlying methodology. • Develop graph-oriented experiences for inspecting brands, products, competitors, channels, geographies, sources, and campaigns. • Integrate frontend experiences with backend APIs and data sources, including FastAPI services, PostgreSQL-backed workflows, and Neo4j-connected graph data. • Own loading, empty, error, permission, and partial-data states to keep the product clear and trustworthy when data is incomplete. • Expand and enforce the design system across Figma and Storybook, including reusable patterns, tokens, and accessibility standards. • Work from scoping through implementation on net-new features as the platform architecture expands. • Partner with backend engineers and data scientists to define API contracts and ensure the UI accurately represents analytical results. Qualifications • 5+ years of professional experience, ideally as a UX designer capable of frontend coding or a frontend engineer with strong product and UX judgment. • Professional experience shipping production web applications with React and TypeScript. • Portfolio or work history demonstrating product/UX design judgment and direct frontend implementation. • Strong command of Figma, responsive layouts, component architecture, state management, forms, tables, filters, and interactive data visualization. • Comfort using AI-assisted tools in the frontend workflow, with strong judgment about when and how to rely on them. • Strong spoken and written English, with confidence communicating in cross-functional meetings and explaining design and technical decisions. • Availability to work 11 AM to 7 PM Poland time. • Nice to have: familiarity with graph databases such as Neo4j, Python/FastAPI backends, and accessibility testing. Recruitment Process • Initial conversation • Cultural fit interview • Technical challenge • Final interview