Fullstack AI Developer

🏢 Summary: Role focused on developing, refactoring, and productionizing AI applications and agents built mainly in Python, deployed on Google Cloud Platform. The position involves taking MVPs to production standard, designing secure and observable architectures, and integrating LLM-based solutions end-to-end. Work is fully remote with strong ownership over technical decisions and architecture. 🗂️ Requirements: Very good knowledge of Python, Practical experience with GCP (Cloud Run, Cloud SQL, BigQuery, IAM, Pub/Sub), Experience deploying applications to production with CI/CD, monitoring and rollback mechanisms, Ability to refactor, debug and improve existing codebases, Knowledge of application security (secrets management, RBAC, encryption, OWASP Top 10), Experience integrating and working with LLM APIs, Ability to design application architecture and make technical decisions independently 📃 Skills: Python, GCP, CloudRun, CloudSQL, BigQuery, PubSub, IAM, CI/CD, FastAPI, Django, TypeScript, Next.js, LLM, Kafka, n8n, HubSpot, Twilio, Apify, OWASP 🏢 Description: Nasz Klient to jedna z największych firm EdTech w Polsce, która intensywnie rozwija rozwiązania oparte o sztuczną inteligencję. Dołączysz do zespołu pracującego nad ponad 30 aplikacjami i agentami AI wspierającymi obszary sprzedaży, marketingu, HR, operations oraz IT. Szukamy samodzielnej osoby z bardzo dobrą znajomością Pythona, która potrafi przejmować istniejące prototypy, doprowadzać je do standardu produkcyjnego oraz rozwijać nowe rozwiązania end-to-end. 📍 TRYB PRACY 🏠 100% zdalnie ⏱️ DOSTĘPNOŚĆ 🚀 Preferowany start: czerwiec 2026 (możliwy start od zaraz) 🧑‍💻 CZYM BĘDZIESZ SIĘ ZAJMOWAĆ? Przeglądem, oceną i refaktoryzacją istniejących aplikacji AI oraz MVP tworzonych głównie w Pythonie i sporadycznie w TypeScript / Next.js Przenoszeniem rozwiązań do środowiska produkcyjnego w Google Cloud Platform (GCP) z wykorzystaniem m.in . Cloud Run, Cloud SQL, Pub/Sub, BigQuery i Cloud Tasks Projektowaniem i wdrażaniem elementów związanych z bezpieczeństwem, monitoringiem, obserwowalnością oraz procesami CI/CD Rozwojem nowych aplikacji AI, agentów oraz workflowów integrujących modele LLM (Large Language Models) Bezpośrednią współpracą z biznesem w celu doprecyzowania wymagań i wspólnego rozwijania rozwiązań Samodzielnym podejmowaniem decyzji technicznych dotyczących architektury, jakości kodu i utrzymania aplikacji 🔎 CZEGO OD CIEBIE OCZEKUJEMY? ✅ Must-have Bardzo dobrej znajomości Python Praktycznego doświadczenia z GCP (Google Cloud Platform), w szczególności z Cloud Run, Cloud SQL, BigQuery, IAM oraz Pub/Sub Doświadczenia we wdrażaniu aplikacji na produkcję z wykorzystaniem CI/CD, monitoringu i rollbacków Umiejętności pracy z istniejącym, niedoskonałym kodem – refaktoryzacji, debugowania i porządkowania prototypów Znajomości zagadnień bezpieczeństwa, takich jak sekrety, RBAC, szyfrowanie i OWASP Top 10 Samodzielności oraz umiejętności bezpośredniej współpracy z biznesem ⭐ Nice-to-have Doświadczenie z FastAPI lub Django Znajomość TypeScript i Next.js na poziomie pozwalającym utrzymać istniejący frontend Podstawowa praktyka w pracy z LLM przez API (prompting, agenci, ewaluacja, kontrola kosztów) Znajomość Kafka lub innych technologii event-driven Doświadczenie z n8n lub podobnymi narzędziami do orkiestracji workflowów Integracje z systemami takimi jak HubSpot, Google Workspace, Notion, Twilio czy Apify Komunikatywna znajomość języka angielskiego (minimum B2) 🤝 DLACZEGO WARTO? Współpraca w modelu B2B w stabilnym i długofalowym projekcie Możliwość pracy w pełni zdalnej z dowolnego miejsca w Polsce Realny wpływ na architekturę i kluczowe decyzje technologiczne Możliwość pracy nad ponad 30 projektami AI o różnym poziomie złożoności Kameralny, techniczny zespół z dużą samodzielnością działania Dynamiczne środowisko, w którym możesz rozwijać się w obszarze AI, GCP i nowoczesnych technologii backendowych 📩 Dziękujemy za wszystkie zgłoszenia! 📍Skontaktujemy się z wybranymi osobami. TQLO sp. z o.o. – wpis do rejestru agencji zatrudnienia (KRAZ) nr 33580.

🏢 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: B2B opportunity for an AI Technical Lead to design and deliver production-ready AI solutions, combining modern web technologies with advanced AI architectures such as RAG and multi-agent systems. The role involves leading AI projects end-to-end, defining system architecture, and guiding teams in building scalable, high-quality AI-driven products. Monthly compensation ranges from 20,000 to 25,000 with paid days off. 🗂️ Requirements: 5+ years commercial software development experience, Minimum 2 years experience with AI projects in production, Strong experience with TypeScript, Strong experience with Node.js, Strong experience with React, Strong experience with Next.js, Experience leading AI projects end-to-end, Knowledge of RAG architecture, Experience with vector databases, Experience with LLM integrations, Experience with multi-agent frameworks, Experience with workflow orchestration, Experience with validation and observability, Knowledge of AI models and providers, Experience with API management and cost optimisation, Proficiency in Python, Experience with PyTorch, TensorFlow or scikit-learn, Ability to define system architecture, Fluent English (B2+), Fluent Polish (B2+) 📃 Skills: TypeScript, Node.js, React, Next.js, Python, PyTorch, TensorFlow, scikit-learn, RAG, LLM, Pinecone, Chroma, MongoDB, Postgres, Multi-agent, Orchestration, Validation, Observability, API, ReactNative, Meteor, GraphQL, Apollo 🏢 Description: About us At Vazco, we don’t just follow technology trends – we redefine what’s possible with AI. Every project we take on is a chance to build meaningful digital experiences powered by smart, scalable AI solutions. Whether we’re automating complex processes, enhancing user journeys, or enabling data-driven decisions — we’re here to make innovation real. Excited about solving tough challenges for startups, scale-ups, and enterprises around the world? Curious about how AI can drive real business value, not just hype? That’s the space we operate in. You won’t have to choose between commercial impact and meaningful tech — our portfolio includes Open Source projects, nonprofit work, and deep partnerships with forward-thinking companies. Apart from that, you will find yourself in an authentic and open company culture. Our non-hierarchical structure means minimal management and transparent communication with everyone (including the CEO). Now, let’s see what else makes joining our Crew so exciting! ⛵ About your project/work As an AI Technical Lead at Vazco, you’ll work with a team building real, production-ready agentic AI systems and LLM-powered applications. You’ll keep growing your skills in areas like multi-agent architectures, orchestration, evaluation, and modern AI engineering practices. You’ll work closely with AI Engineers, AI-UX Designers, QA Specialists, and Product Managers who care about doing solid technical work and shipping things that actually matter . On top of that, you’ll have a real impact on how the company works, how we shape our methodology and offer, and you’ll get to meet and collaborate with interesting people from the industry. You meet all our criteria if you have: 5+ years of commercial experience, including at least 2 years on AI-based projects in production. Strong background in TypeScript , Node.js , React , and Next.js . Proven experience leading AI projects end to end, from scoping and estimation to production rollout. Solid understanding of RAG architecture, vector databases, and LLM integrations. Experience with multi-agent frameworks , workflow orchestration, validation, and observability . Familiarity with textbots, voicebots, image/video generation, avatars, and automation systems. Strong knowledge of AI models and providers, including cost optimisation and API management. Good command of Python and libraries such as PyTorch, TensorFlow, or scikit-learn. Strong client communication skills , with the ability to define architecture and guide the team. Fluent written and spoken English and Polish , at least B2 level. Strong understanding of prompt engineering, tool usage, reasoning control, context management, and hallucination mitigation . Experience with advanced LLM patterns, including function/tool calling, structured outputs, MCP workflows, and agentic orchestration . Understanding of AI evaluation methods and prompt optimisation workflows. Nice-to-haves We would be absolutely astonished* if you had: (* don't worry, it's okay to learn these skills later) Experience with React Native, Meteor, GraphQL, Apollo . Background in startup or agency environments. Experience with AI security, red teaming, or open-source contributions. Involvement in tech communities. Your responsibilities will include Designing, leading, and implementing production-ready, AI-driven solutions, including multi-agent architectures and RAG-based systems. Conducting technical discovery and estimation sessions with clients — translating requirements into architecture and implementation plans. Advising product and tech teams on AI strategy, tool selection, and long-term scalability. Ensuring technical excellence, code quality, and mentoring team members. Supporting the adoption of AI-UX and agentic design principles across products. Monitoring the performance and resilience of deployed systems to maintain quality over time. What success looks like after 6 months Led 1-2 agentic projects end to end, from discovery through production launch. Established strong architecture standards for RAG and agentic systems. Mentored 3-5 engineers and helped raise the team’s technical bar. Improved production systems by reducing hallucinations, latency, and infrastructure costs. Perks & Benefits Team-building & Company Events - After a day of focused work, there's nothing better than having a much-deserved mental break from responsibilities. Even better when it involves your pals! Be it a go-kart race with your team, a chill session of board games , or a couple of days in Prague - we do whatever fits our fancy. 🕺 Flexible working hours - Flexible working hours are not about being able to start your work within a specific timeframe. It's about maintaining the work-life balance you deserve . We have no strict "office hours" and embrace your early bird or night owl lifestyle. When you need to take a pause or manage your affairs, it's fine by us. 📲 Training budget - Whether it comes to AWS, Domain-Driven Development, Public Speaking training, and many more, we can match you with the best tutors 🧑‍🎓. Show us the direction you'd like to grow in, and we'll go above and beyond to meet your expectations. Personal branding - Build your true Pro status through blogging & social media activity as a company ambassador, your speeches at various conferences and meetups , hosting workshops , and participating in other exciting initiatives. Do it all with our backup. 🤝

🏢 Summary: Senior AI Software Engineer role focused on delivering scalable, real-time backend systems using AI-driven and agentic coding practices. The position emphasizes designing, generating, testing, and deploying solutions with LLMs and AI agents rather than manual coding. You will architect event-driven systems, integrate external platforms, and manage CI/CD and cloud infrastructure. 🗂️ Requirements: 4+ years backend or distributed systems experience, Experience with LLM APIs or AI agents, Proficiency in at least one backend language, Practical experience with cloud platforms, Knowledge of relational and NoSQL databases, Experience with message queues and integration patterns, Experience with CI/CD pipelines, Experience with Docker and infrastructure management 📃 Skills: LLM, APIs, Agents, Java, Python, Go, TypeScript, GCP, AWS, Azure, SQL, NoSQL, Docker, CICD, Microservices, CQRS, IoT, Copilot, Cursor, Claude, Gemini 🏢 Description: AI Software/Fullstack Engineer (Senior) 📍Warszawa (hybrydowo) Dołącz do zespołu AI Software Development w Locon! W roli kluczowe jest dostarczanie działających rozwiązań szybciej i skuteczniej dzięki AI — nie manualne pisanie dużych ilości kodu, lecz świadome wykorzystanie modeli, agentów i narzędzi AI na każdym etapie procesu:od analizy wymagań, przez architekturę i projektowanie, po testy, optymalizację i wdrożenie. To rola dla osoby, która praktykuje AI-driven / agentic coding — buduje rozwiązania we współpracy z inteligentnymi agentami, automatyzuje proces wytwórczy i konsekwentnie zwiększa produktywność zespołu poprzez mądre wykorzystanie sztucznej inteligencji. Rozwijamy systemy backendowe przetwarzające dane w czasie rzeczywistym — setki tysięcy zdarzeń dziennie, integracje IoT, moduły alertowe, geofencing oraz API o dużej skali operacyjnej. Kluczowe jest projektowanie rozwiązań skalowalnych i niezawodnych oraz wykorzystywanie AI na każdym etapie procesu — od analizy wymagań po testy i wdrożenie. Liczy się nie znajomość konkretnego frameworka, lecz zdolność szybkiej adaptacji, efektywnego wykorzystania AI (agentic coding) i dostarczania realnej wartości biznesowej. 🚀 Kluczowe cele na dobry początek: Rozumienie i definiowanie wymagań – aktywny udział w discovery, zadawanie właściwych pytań, przekształcanie potrzeb biznesowych w precyzyjne specyfikacje. Specyfikacja i projektowanie – tworzenie dokumentacji technicznej, propozycji architektury i planów implementacji – z pomocą AI, ale z pełną odpowiedzialnością za decyzje. Delivery bez ręcznego kodowania – generowanie, weryfikacja i integracja kodu przy użyciu narzędzi AI (Copilot, Cursor, Claude, Gemini i in.). Twoja rola tokierowanie, recenzowanie i decydowanie – nie ręczne pisanie linii po linii. Testy end-to-end i integracyjne – projektowanie strategii testów, definiowanie przypadków brzegowych, weryfikacja jakości z pomocą AI. CI/CD i operacje – konfiguracja i utrzymanie pipeline'ów, monitoring, automatyzacja deploymentu. Sprawdź jakie wyzwania na Ciebie czekają : ✔️Udział w planowaniu i refinemencie – tłumaczysz wymagania biznesowe na plany techniczne zrozumiałe dla AI i dla ludzi. ✔️ Szybkie prototypowanie i weryfikacja – budujesz MVP w ciągu kilku dni oraz iterujesz na podstawie feedbacku. ✔️Praca z systemami event-driven i real-time – rozumiesz asynchroniczność, kolejki strumienie danych i potrafisz je zaprojektować. ✔️Integracje z zewnętrznymi systemami – ERP, CRM, platformy e-commerce, IoT: rozumiesz wzorce integracyjne niezależnie od języka czy frameworka. ✔️ Recenzowanie kodu generowanego przez AI – rozumiesz, co AI produkuje, wyłapujesz błędy logiczne, problemy bezpieczeństwa i wydajnościowe. ✔️Zarządzanie długiem technicznym i modernizacja – identyfikujesz obszary do poprawy i wdrażasz zmiany inkrementalnie. 💡To rola właśnie dla Ciebie jeśli masz: ⚆ Min. 4–5 lat komercyjnego doświadczenia w inżynierii oprogramowania (backend lubsystemy rozproszone). ⚆ Masz doświadczenie z LLM API, agentami AI lub automatyzacją workflow. ⚆ Biegłe posługiwanie się co najmniej jednym językiem backendowym (Java, Python, Go, TypeScript lub innym). ⚆ Praktyczna znajomość chmury (GCP, AWS lub Azure) – wdrożenia, serwisymanaged, bezpieczeństwo, koszty. ⚆ Znajomość baz danych (relacyjnych i NoSQL), kolejek wiadomości i wzorcówintegracyjnych. ⚆ Doświadczenie z CI/CD, Dockerem i podstawami zarządzania infrastrukturą. Umiejętności dodatkowe (mile widziane): ⚆ Doświadczenie z systemami real-time lub IoT. ⚆ Znajomość wzorców architektonicznych (mikroserwisy, event-driven, CQRS, CleanArchitecture). 🚀 Mindset I postawa: AI-First w każdym kroku – Twój domyślny tryb pracy to: zapytaj AI, zweryfikuj,dostosuj, wdróż. Szerokie myślenie technologiczne – swoboda w poruszaniu się po architekturze backendowej, chmurze, bazach danych, kolejkach, API i zagadnieniach bezpieczeństwa. Szybkość i eksperymentowanie – komfort pracy w dynamicznym środowisku, gotowość do testowania nowych narzędzi i rozwiązań. Elastyczność i otwartość – adaptacyjność wobec zmieniających się technologii i wyzwań. Ownership i odpowiedzialność – samodzielne prowadzenie tematów od koncepcji do wdrożenia, z koncentracją na rezultacie. Co zyskasz dołączając do Locon? 🤖 AI-First engineering environment – modele, agenci i automatyzacja są integralną częścią procesu developmentu (design → code → test → deploy). AI to warstwa produkcyjna, nie eksperymentalna. 🧠 Agentic coding w praktyce – praca z multi-agent workflows, automatyzacją generowania i refaktoryzacji kodu, testów oraz dokumentacji. Rozwój w obszarze nowoczesnych praktyk AI-driven software engineering. ⚙️ Autonomia technologiczna – możliwość doboru narzędzi, modeli i pipeline’ów AI dopasowanych do problemu. Decyzje technologiczne oparte na efektywności i jakości, nie sztywnym stacku. 🏗️ Realny wpływ na architekturę systemów – projektowanie rozwiązań event-driven i real-time oraz współtworzenie standardów skalowalności, wydajności i bezpieczeństwa. 🔗 Środowisko cross-functional – współpraca z obszarem produktu, data/AI i infrastrukturą przy projektowaniu rozwiązań end-to-end. 📈 Dedykowany budżet rozwojowy – szkolenia, certyfikacje i konferencje technologiczne (AI, architektura systemów rozproszonych, cloud, security). 🏥 Prywatna opieka medyczna. 🏃 Karta sportowa.

🏢 Summary: Oferta dotyczy roli technicznego lidera odpowiedzialnego za współtworzenie strategii technologicznej, podejmowanie kluczowych decyzji architektonicznych oraz rozwój kompetencji zespołu developerskiego. Osoba na tym stanowisku będzie wspierać projekty od fazy presales po kickoff, definiować standardy technologiczne i AI oraz przygotowywać organizację na wyzwania branży FMCG (m.in. IoT, ERP, MES). Rola obejmuje również mentoring, rekomendowanie nowych narzędzi i budowanie kultury pracy opartej o AI. 🗂️ Requirements: Doświadczenie w projektowaniu architektury systemów, Umiejętność podejmowania decyzji technologicznych, Doświadczenie w mentoringu zespołów developerskich, Doświadczenie w pracy z AI w procesie wytwarzania oprogramowania, Znajomość integracji systemów ERP/MES, Znajomość rozwiązań IoT, Doświadczenie w presales i discovery, Umiejętność definiowania standardów technologicznych 📃 Skills: AI, IoT, ERP, MES, Architecture, Presales, Discovery, FMCG, SupplyChain 🏢 Description: Inwedo to software house z ponad 10-letnim doświadczeniem. Pomagamy firmom sprawnie realizować projekty od wstępnej weryfikacji pomysłów po pełne wdrożenie. Łączymy solidne fundamenty inżynierskie z praktycznym podejściem do AI i nowoczesnych technologii, aby tworzyć skalowalne i niezawodne systemy, gotowe sprostać przyszłym wyzwaniom. Szukamy osoby, która dołączy do nas w roli Chief Technology Officer i realnie wpłynie na to, jak budujemy software - zarówno w tym jak pracuje nasz zespół, jak rozmawiamy z klientami i w jakim kierunku idzie firma technologicznie. Jakie będą Twoje zadania? współtworzysz strategię technologiczną firmy: kierunek rozwoju, dobór technologii, narzędzi i standardów inżynierskich, mentorujesz developerów i wspierasz ich w decyzjach architektonicznych, współtworzysz proces rekrutacji technicznych, doradzasz na etapie presales i discovery, tłumaczysz wartość rozwiązań klientom, przy starcie nowych projektów nadzorujesz architekturę, wybór technologii oraz standardy wdrażania AI w kodzie dostarczanych klientom (review, bezpieczeństwo danych, IP, granice odpowiedzialności), ustanawiasz firmowe standardy pracy z narzędziami agentowymi AI (wybór tooli, workflow, guardrails) oraz tworzysz materiały edukacyjne i prowadzisz warsztaty dla zespołu, stajesz się partnerem merytorycznych dla zespołu i klientów w obszarach FMCG / suppy chain, IoT oraz ERP/MES, łącząc wiedzę technologiczną z kontekstem branżowym, śledzisz trendy IT i AI oraz rekomendujesz i pilotujesz wdrażanie nowych narzędzi dla zespołów developerskich. Wiedza i umiejętności, których szukamy: solidny background techniczny - min. 8 lat doświadczenia w stacku: .NET, Angular, Azure, AWS, udokumentowane wdrożenie agentic AI w zespole developerskim - wybór i standaryzacja narzędzi (Claude Code, Cursor, Copilot Agent), zdefiniowanie workflow, guardrails i kryteriów jakości dla zespołu, praktyka w projektowaniu rozwiązań AI dla klientów (integracja LLM przez API, tool/function calling, MCP, RAG, architektura agentowa) oraz umiejętność oceny, kiedy AI daje realną wartość biznesową, a kiedy jest ryzykiem, context engineering i dekompozycja zadań agentowych - zarządzanie kontekstem, pamięcią i instrukcjami, prowadzenie agenta end-to-end (planowanie -> edycja -> testy -> iteracja) zamiast prostego autouzupełniania kodu, doświadczenie w mierzeniu i uzasadnianiu wartości z użycia AI - produktywność zespołu, koszt tokenów, bezpieczeństwo danych klienta, granice odpowiedzalności, zdolność uczenia zespołu pracy z AI, przez prowadzenie warsztatów, tworzenie materiałów, wprowadzenie standardów, doświadczenie w mentoringu, ocenie kodu oraz architektury, doświadczenia w pracy z klientami zewnętrznymi lub jak konsultant (rozmowy presales, wyceny, kickoffy), proaktywności i zdolności do samodzielnego identyfikowania obszarów wymagających zmiany, wysokiej empatii, bardzo dobrej komunikacji i cierpliwości w pracy z osobami o różnym poziomie zaawansowania, znajomości j. angielskiego pozwalającą na swobodną i płynną komunikację. Mile widziane: znajomość branży produkcyjnej, FMCG. Jak wygląda rekrutacja? Screening call - videocall z Anią z zespołu People Operations - ok. 30-40 min. Spotkanie z Agatą - videocall z Agatą, COO Inwedo - ok. 45 min. Spotkanie z Adamem - videocall z Adamem, CEO Inwedo - ok. 45 min. Co oferujemy? 💻 Pracujemy na Inwedowym sprzęcie . Potrzebujesz dodatkowego monitora, myszki, stacji dokującej? Daj znać. Zadbamy o komfort Twojej pracy. 💰 Budżet szkoleniowy - 3500 zł rocznie na wszystko, czego potrzebujesz do rozwoju zawodowego. 💡Przestrzeń do realizacji własnych pomysłów. 🛍️Korzystamy z platformy benefitowej , Ty decydujesz, na co przeznaczasz środki - czy na kartę sportową , opiekę medyczną , zamówienia z Pyszne.pl , wycieczki z Wakacje.pl czy zakupy online . 🎉Regularne integracje online i offline. Sprawdź, jak się u nas pracuje: 👉 https://www.facebook.com/inwedo 👉 https://www.linkedin.com/company/inwedo/

🏢 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: Leadership role focused on transforming frontend development through deep AI integration, enabling teams to build products faster using LLMs and custom AI agents. The position combines hands-on prototyping, workflow redesign, and implementation of AI-driven engineering practices. The goal is to automate repetitive coding and elevate engineers’ focus to business logic and UX. 🗂️ Requirements: Proven experience leading technical teams, Strong knowledge of React, Strong knowledge of TypeScript, Practical experience with LLMs in development workflows, Ability to build and integrate custom AI agents, Experience designing AI-driven development processes, Hands-on frontend development experience, Ability to create custom AI tools and workflows 📃 Skills: React, TypeScript, JavaScript, LLM, Copilot, Claude, AI, SDD, Git, API 🏢 Description: Jesteśmy w punkcie, w którym kodowanie w staje się półproduktem, a prawdziwa gra toczy się o to, jak szybko i inteligentnie potrafimy dostarczać produkty  przy wsparciu narzędzi AI. Szukamy lidera, który nie boi się powiedzieć głośno: "Era pisania kodu dobiega końca". Potrzebujemy kogoś, kto weźmie nasz stack i uzbroi go w AI tak głęboko, że developerzy poczują się, jakby przesiedli się z szybowca do odrzutowca. Twój zakres obowiązków: Hands-on: Będziesz aktywnie pracować z zespołami nad produktem, budując prototypy, wdrażając customowe agenty i pokazując na żywym organizmie, jak AI zmienia codzienny workflow. Zmieniasz paradygmat produkcji: Przebudujesz nasz warsztat pracy. Twoim celem jest osiągnięcie stanu, w którym większość powtarzalnego kodu powstaje autonomicznie, a inżynierowie skupiają się na logice biznesowej i UX. Wdrażasz Inżynierię AI: Będziesz nawigatorem dla zespołu. Twoim zadaniem jest nauczenie ludzi, jak współpracować z LLM-ami, aby nie tylko pisać kod szybciej, ale by był on lepszej jakości niż ten pisany ręcznie. Ewolucja kompetencji: Zmienisz definicję "Frontenda". Będziesz rekrutować i kształtować ludzi,  dla których praca z agentami AI i sterowanie modelami to naturalny workflow. Nasze wymagania: Lider: Potrafisz przekonać sceptyków, że AI to nie zagrożenie, ale potężne narzędzie. Umiesz budować kulturę eksperymentu, gdzie błąd jest nauką, a nie porażką. Frontend: Głęboka wiedza o React i TypeScript, ale z krytycznym podejściem – wiesz, kiedy standardowe podejście jest barierą, a nie wsparciem. AI: Nie tylko słyszałeś o Copilor czy Claude.  Dla ciebie Skilsy, SDD to podstawa efektywnej pracy.  Potrafisz budować własne przepływy, narzędzia i wiesz jak zintegrować je z codzienną pracą zespołu. Pragmatyk: Odróżniasz hype od realnej wartości. Wiesz, kiedy AI pomaga, a kiedy tylko dodaje niepotrzebnej złożoności do projektu. Oferujemy: Współpracę B2B. Pracę hybrydową w wymiarze 3 dni z  biura oraz 2 dni zdalnie od poniedziałku do piątku. Biuro znajduje się przy ul. Życzkowskiego 18. Dlaczego my? Zero "Legacy Mindset": Dajemy Ci swobodę w optymalizowaniu procesów, które spowalniają zespół. Pole bitwy dla innowacji: Masz przestrzeń na testowanie najbardziej odważnych narzędzi AI, jakie pojawiają się na rynku. Wpływ na produkt: Twoje decyzje bezpośrednio przełożą się na to, jak szybko nasi klienci dostaną nowe funkcje. Benefity: Dofinansowujemy kartę sportową Medicover Sport. Mamy zniżki na badania w naszych laboratoriach dla Ciebie (70%) i Twojej rodziny (20%). Możesz dołączyć do preferencyjnego ubezpieczenia grupowego PZU. Trenuj z nami w regionalnych drużynach siatkarskich, bierz udział w maratonach, półmaratonach czy Runmageddonie na terenie całej Polski.

🏢 Summary: Fullstack Data & AI Engineer role focused on building and maintaining end-to-end applications using .NET/C# and Angular, while designing data pipelines and integrating AI/LLM features. The position combines full-stack development with cloud data warehouse work and ETL processes to deliver scalable, AI-powered solutions. Responsibilities include performance optimization, Azure-based deployments, and technical support. 🗂️ Requirements: Bachelor’s degree in Computer Science, Information Systems, or related field, Minimum 6 years of .NET/C# and T-SQL full-stack development experience, Strong experience with ASP.NET, Angular, REST, Entity Framework, Hands-on experience with SQL Server and T-SQL, Experience with cloud data warehouses (Redshift, BigQuery, Snowflake, or Azure Synapse), Experience designing and maintaining ETL/ELT data pipelines, Practical experience integrating LLMs and AI tools, Minimum 2 years of experience with Azure-hosted applications, Understanding of secure coding practices, Experience with Azure DevOps 📃 Skills: C#, .NET, ASP.NET, Angular, T-SQL, SQL, SQLServer, EntityFramework, REST, JavaScript, Azure, Redshift, BigQuery, Snowflake, AzureSynapse, ETL, ELT, LLM, AI, AzureDevOps, MessageQueues 🏢 Description: Vecten is an AI-native data and technology partner for private equity, venture capital, and healthcare. We build proprietary data infrastructure, deploy AI solutions, and own the outcomes — not just the code. Our clients manage a cumulative $210B+ in assets and stay with us for an average of five years. We've reorganized our own company around AI, and we do the same for the firms that trust us with their most critical decisions. The project: The primary role of the Fullstack Data & AI Engineer is to build and maintain software applications using .NET/C# and Angular, while also designing and supporting data pipelines and AI-powered features. The person will create applications from scratch as well as modify existing ones, including configuration, testing, and deployment. Beyond application development, you will work with cloud data warehouses, ETL processes, and LLM integrations to deliver end-to-end solutions. You will also provide application support and mentor junior team members. On a daily basis, you will write and debug code, work with large datasets, and collaborate with software engineers, QA analysts, product managers, business analysts, and production support engineers to build software solutions that meet client business needs. The role: Write clean, scalable, and secure code using T-SQL and .NET/C# for applications hosted on-prem and in Azure Develop front-end and back-end components using Angular, .NET Core, C#, T-SQL, JavaScript, Message Queues, and related technologies Design, implement, and maintain data pipelines and ETL/ELT processes, including ingestion, transformation, and loading into cloud data warehouses such as Redshift or BigQuery Build and maintain efficient database schemas, stored procedures, and queries using SQL Server; optimize queries and application code for performance and stability Integrate LLM-based features and AI tools into applications and development workflows Revise, update, refactor, and debug code to troubleshoot errors and improve quality Follow Agile methodology and participate in team ceremonies (Standup, Retro, Planning, Refinement, etc.) Participate in requirements analysis and refinement, updating requirements as needed Produce and execute unit tests Participate in code reviews and both provide and incorporate feedback Collaborate with internal teams to produce and document scalable software design and architecture Contribute to improving development processes, engineering tools, code quality, automation, and the SDLC Serve as a technical expert on applications and provide Level 2/3 support via Helpdesk tickets as needed What's important for us? Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience At least 6 years of .NET/C# and T-SQL full-stack development experience, including C#, ASP.NET , SQL Server (T-SQL), REST, Angular, and Entity Framework Hands-on experience with cloud data warehouses such as Redshift, BigQuery, Snowflake, or Azure Synapse, including designing schemas, writing complex queries, and managing large datasets Practical experience building and maintaining data pipelines and ETL/ELT processes AI-forward mindset with practical experience using LLMs and AI tools to improve development workflows and application capabilities 2+ years of experience developing and supporting applications hosted in Azure Good understanding of secure coding guidelines and the ability to apply them in practice Experience working with Healthcare EDI transactions is a plus; 1-2 years of Healthcare or Insurance industry experience is a plus Strong analytical, critical thinking, and problem-solving skills, combined with solid interpersonal and communication skills High attention to detail; able to organize and prioritize work while maintaining accuracy Ability to work independently and follow through on assignments with minimal direction Working knowledge of Azure DevOps or ability to learn it quickly What do we offer? Culture of teamwork, professional development, and knowledge sharing ( https://www.youtube.com/user/sunscraperscom ) Flexible working hours and remote work possibility Multisport card Private medical care Culture of good feedback: code reviews, evaluation meetings, mentoring. Comfortable office in central Warsaw equipped with all the necessary tools for comfortable work (Macbook Pro, external screen, ergonomic chairs) - if working on-site

🏢 Summary: Backend Engineer role focused on building and scaling the core architecture behind AI Agents, including reasoning layers, RAG systems, and high-volume conversational infrastructure. The position involves designing agentic orchestration, modernizing legacy systems, and integrating AI capabilities into scalable microservices running in production. You will work hands-on with LLM integrations, vector databases, and cloud-native infrastructure to support millions of daily conversations. 🗂️ Requirements: 6+ years backend development experience, Strong hands-on expertise in Node.js, Strong hands-on expertise in TypeScript, Experience with async programming, queues, and streams, Experience with real-time communication (WebSockets, service-to-service messaging), Commercial experience implementing RAG and Agentic systems in production, Experience with Function Calling and LLM integrations, Deep understanding of context management and multi-turn conversations, Experience with SQL databases (PostgreSQL), Experience with NoSQL databases (Elasticsearch), Experience with Vector Databases and embeddings, Experience with Google Cloud Platform, Experience with Kubernetes, Ability to design and maintain RESTful APIs, Experience working with microservices and scalable systems 📃 Skills: Node.js, TypeScript, PostgreSQL, Redis, Elasticsearch, Pinecone, pgvector, GCP, Kubernetes, Docker, LangGraph, LLMs, RAG, MCP, PubSub, WebSockets, SSE, Webhooks, Prometheus, Grafana, Vitest, Supertest, Playwright, Go, ETL, Microservices, Concurrency, Async, Streams, Queues, GitHubActions 🏢 Description: About your team You’ll join AI Engines – the team building the backend “brain” of AI Agents in Text App. These aren’t your average scripted bots. Our AI Agents understand context, communicate naturally, and take meaningful actions: from digging through the Knowledge Hub to answer customer queries, to guiding human agents, or triggering automations in third-party tools via Copilot. To make this happen, we need to design highly scalable backend systems capable of handling millions of conversations daily. We build the APIs, develop the reasoning layers, and continuously push the boundaries of what our agents can actually do. You will be responsible for: Hands-on building, scaling, and maintaining the core backend architecture (Vector Database, AI Engines, Knowledge Hub, etc.). Designing and implementing an Agentic reasoning and orchestration layer using Skills and tool calling (a core building block of our architecture). Modernizing the core by taking full ownership of migrating legacy implementations into our modern, highly scalable AI ecosystem. Collaborating with our AI researchers to experiment with, validate, and confidently push new AI features straight to production. Mastering Context Engineering & R&D by moving way beyond basic prompt engineering. You'll be experimenting with and optimizing how our agents communicate with LLMs (taking full ownership of multi-turn conversations, tool calling, advanced RAG integrations, system prompt design, and history management). Designing RESTful APIs and service integrations for AI and data-heavy use cases, while migrating legacy implementations to a modern ecosystem. Integrating AI Agents with MCP servers, shaping how they interact with external ecosystems. Setting the standard by taking an active part in architecture discussions, code reviews, and technical decision-making, while bringing an extreme ownership and "fast flagging" mindset to the team. You may be a good fit for this role if you: Have 6+ years of experience in backend development, with strong, recent, hands-on expertise in Node.js and TypeScript in recent projects . We need someone who is fluent in async programming, queues, and streams, and can jump into our codebase on Day 1. Have hands-on experience with real-time communication (WebSockets, async service-to-service messaging). Have proven commercial experience building AI-driven features . You don't just know the concepts—you’ve actively implemented RAG, Function Calling, and Agentic systems in production. A deep understanding of Context Engineering. You know that it’s no longer just about "writing good prompts." You have proven experience managing context windows, multi-turn conversation history, and tool calling within Agentic or RAG ecosystems. Have a solid grasp of database ecosystems, including SQL (Postgres) , NoSQL (Elasticsearch) , and Vector Databases (e.g., Pinecone, pgvector), along with the mechanics of embeddings. Know how to run and scale services on Google Cloud Platform and Kubernetes. Enjoy solving complex technical challenges in microservices, concurrency, and performance optimization. Bonus if you also: Experience with Go (Golang) is a strong plus. Have experience building Data Pipelines or ETL processes. Previous work on SaaS products, low-code/no-code platforms, or workflow automation. Our Tech Stack: (Let’s be transparent: while we value curiosity and a growth mindset, solid hands-on experience with Node.js and TypeScript is a strict requirement for this role. We are happy to give you time to learn our specific AI frameworks and databases on the go, as long as your core backend skills are top-notch.) Core (Must-have) : Node.js, TypeScript Databases : PostgreSQL, Redis, ElasticSearch Scalability & communication : PubSub, Webhooks, SSE AI-related : LLMs, LangGraph, Function Calling, Context Compression, MCP (Model Context Protocol) Infrastructure & deployment : Docker, GitHub Actions, Prometheus, Grafana Testing & reliability : Vitest, Supertest, Playwright How we work We’re a hybrid team – remote when it makes sense, onsite when it matters most. Once per quarter, your whole team spends 5 working days together at our Wrocław office – a time for focused execution, unblocking work, and driving key outcomes. Our office is open year-round – drop by anytime. Contract: B2B (self-employed). You’ll need a registered business in selected EU countries — either already set up or possible to register in your country . Please apply only if this works for you.

🏢 Summary: Senior Backend Engineer role focused on building and scaling the core AI backend powering advanced AI Agents, including reasoning layers, RAG systems, and real-time integrations. The position involves designing scalable architectures, implementing agentic orchestration with tool calling, and modernizing legacy systems into a high-performance AI ecosystem. You will work hands-on with Node.js and TypeScript to deliver production-ready AI-driven features handling millions of conversations. 🗂️ Requirements: 6+ years backend development experience, Strong hands-on Node.js experience, Strong hands-on TypeScript experience, Fluency in async programming, queues, streams, Experience with WebSockets and async messaging, Commercial experience implementing RAG systems, Experience with Function Calling in production, Experience building Agentic systems, Context window and multi-turn conversation management, Experience with SQL and NoSQL databases, Experience with Vector Databases and embeddings, Experience with GCP and Kubernetes, Experience with microservices architecture, Experience with Docker-based deployments 📃 Skills: Node.js, TypeScript, PostgreSQL, Redis, Elasticsearch, Pinecone, pgvector, GCP, Kubernetes, Docker, PubSub, WebSockets, SSE, LLMs, LangGraph, RAG, MCP, GitHub, Prometheus, Grafana, Vitest, Supertest, Playwright, Go 🏢 Description: About your team You’ll join AI Engines – the team building the backend “brain” of AI Agents in Text App. These aren’t your average scripted bots. Our AI Agents understand context, communicate naturally, and take meaningful actions: from digging through the Knowledge Hub to answer customer queries, to guiding human agents, or triggering automations in third-party tools via Copilot. To make this happen, we need to design highly scalable backend systems capable of handling millions of conversations daily. We build the APIs, develop the reasoning layers, and continuously push the boundaries of what our agents can actually do. You will be responsible for: Hands-on building, scaling, and maintaining the core backend architecture (Vector Database, AI Engines, Knowledge Hub, etc.). Designing and implementing an Agentic reasoning and orchestration layer using Skills and tool calling (a core building block of our architecture). Modernizing the core by taking full ownership of migrating legacy implementations into our modern, highly scalable AI ecosystem. Collaborating with our AI researchers to experiment with, validate, and confidently push new AI features straight to production. Mastering Context Engineering & R&D by moving way beyond basic prompt engineering. You'll be experimenting with and optimizing how our agents communicate with LLMs (taking full ownership of multi-turn conversations, tool calling, advanced RAG integrations, system prompt design, and history management). Designing RESTful APIs and service integrations for AI and data-heavy use cases, while migrating legacy implementations to a modern ecosystem. Integrating AI Agents with MCP servers, shaping how they interact with external ecosystems. Setting the standard by taking an active part in architecture discussions, code reviews, and technical decision-making, while bringing an extreme ownership and "fast flagging" mindset to the team. You may be a good fit for this role if you: Have 6+ years of experience in backend development, with strong, recent, hands-on expertise in Node.js and TypeScript in recent projects . We need someone who is fluent in async programming, queues, and streams, and can jump into our codebase on Day 1. Have hands-on experience with real-time communication (WebSockets, async service-to-service messaging). Have proven commercial experience building AI-driven features . You don't just know the concepts—you’ve actively implemented RAG, Function Calling, and Agentic systems in production. A deep understanding of Context Engineering. You know that it’s no longer just about "writing good prompts." You have proven experience managing context windows, multi-turn conversation history, and tool calling within Agentic or RAG ecosystems. Have a solid grasp of database ecosystems, including SQL (Postgres) , NoSQL (Elasticsearch) , and Vector Databases (e.g., Pinecone, pgvector), along with the mechanics of embeddings. Know how to run and scale services on Google Cloud Platform and Kubernetes. Enjoy solving complex technical challenges in microservices, concurrency, and performance optimization. Bonus if you also: Experience with Go (Golang) is a strong plus. Have experience building Data Pipelines or ETL processes. Previous work on SaaS products, low-code/no-code platforms, or workflow automation. Our Tech Stack: (Let’s be transparent: while we value curiosity and a growth mindset, solid hands-on experience with Node.js and TypeScript is a strict requirement for this role. We are happy to give you time to learn our specific AI frameworks and databases on the go, as long as your core backend skills are top-notch.) Core (Must-have) : Node.js, TypeScript Databases : PostgreSQL, Redis, ElasticSearch Scalability & communication : PubSub, Webhooks, SSE AI-related : LLMs, LangGraph, Function Calling, Context Compression, MCP (Model Context Protocol) Infrastructure & deployment : Docker, GitHub Actions, Prometheus, Grafana Testing & reliability : Vitest, Supertest, Playwright How we work We’re a hybrid team – remote when it makes sense, onsite when it matters most. Once per quarter, your whole team spends 5 working days together at our Wrocław office – a time for focused execution, unblocking work, and driving key outcomes. Our office is open year-round – drop by anytime. Contract: B2B (self-employed). You’ll need a registered business in selected EU countries — either already set up or possible to register in your country . Please apply only if this works for you.