Senior Fullstack Developer

By joining us, you’ll: We’re an OpenAI Advanced Partner and an Anthropic Service Partner, with a direct line to both labs’ solution engineers. We also build production work on ElevenLabs, so you’re getting early, hands-on access to new models and features before they hit the mainstream. Explore and apply the newest tech: LLMs & RAG, MLOps, Edge Solutions, Computer Vision, Predictive Analytics. Tackle challenges in software & tech, pharma & healthcare, manufacturing, retail, telecoms & media. Contribute to open-source projects – just take a look at our latest solution, ragbits, an agentic RAG framework with over 1.6k stars on GitHub. And the best part of working at deepsense.ai? Spread your wings with clear career paths, technical or leadership. Collaborate with 100+ AI experts with 15+ years of applied AI experience, as well as PhD-level researchers with academic backgrounds. Tap into domain expertise and knowledge sharing whenever you need it. We Offer Impactful AI projects Tackle industry-grade challenges: from LLMs for drug discovery to GenAI on edge devices, AI voicebots, and open-source initiatives with global reach. Collaborate directly with our partners for early access to tools before public release, testing in production, and bringing know-how from AI leaders into our projects. Contribute to open-source initiatives like ragbits (1.6k+ stars on GitHub), adopted and appreciated by the ML community. Growth & Knowledge Sharing Join AI specialists who share expertise through Tech Talks, workshops, and internal trainings. Present your work at conferences, run experiments, and stay ahead of the curve. Choose your own career path and get support for your development. Flexibility & Culture Work fully remote, from one of our two offices (Warsaw, Bydgoszcz), or from coworking spaces in Poznań, Łódź, Wrocław, and Gdańsk. Enjoy flexible working hours. Benefit from a culture that prevents burnout and supports balance in daily work. Start with onboarding – from day one you are matched with a buddy. Get high-end equipment (laptops, dual monitors, pro peripherals). Access a premium AI development suite: OpenAI ChatGPT, Claude, Gemini Advanced, GitHub Copilot, Cursor AI IDE, Claude Code, NotebookLM, plus the latest emerging AI tools to support your daily work. Work in agile teams with fast decision-making and space to try out your ideas. Basic Benefits Get private medical care and a Multisport card. Use our company library, attend onsite English lessons, and benefit from a dedicated training budget. Join free team lunches and enjoy fresh fruit & snacks. Take part in team-building activities and holiday celebrations.

Daily tasks

• End-to-End Application Delivery: You build, operate, and maintain complete, production-ready applications across frontend, backend, APIs, databases, and cloud environments—primarily using Python for backend services and React/TypeScript for modern frontends.
• AI & LLM Integration: You bring AI capabilities to life in real products, integrating model APIs, retrieval mechanisms (RAG), streaming, structured outputs, tool use, and vector or specialized data stores.
• Full Delivery Lifecycle Ownership: You work alongside product teams, data scientists, and AI engineers from the design stage to turn requirements into maintainable software. You own testing, CI/CD, Docker/Kubernetes containerization, deployment, and observability (logs, metrics, traces) to ensure system reliability.
• Technical Leadership & Client Impact: You act as a technical point of contact in client projects—discussing requirements, explaining technical tradeoffs, maintaining clear documentation, and adapting flexibly to different codebases and technology stacks.

Requirements

The ideal candidate: Has strong software engineering fundamentals and proven experience building maintainable backend services and APIs, primarily in Python. Is proficient in modern frontend development, working comfortably with React and TypeScript. Holds solid SQL skills and hands-on experience with relational databases, alongside familiarity with vector or specialized data stores. Regularly uses Docker, Docker Compose, and Git, with a solid grasp of Kubernetes, CI/CD pipelines, and application observability (logs, metrics, traces). Demonstrates practical experience integrating external APIs and services, including AI and LLM-based components (streaming, structured outputs, RAG). Brings a pragmatic engineering mindset—taking ownership of reliability, security, and performance across the full stack. Communicates clearly in English and Polish, with the flexibility to adapt across different client projects, codebases, and toolchains. Bonus points for experience with frameworks like FastAPI/Django/Flask, alternative ecosystems (Angular, Node.js), cloud platforms (AWS, GCP, Azure), agentic frameworks/tool calling, Infrastructure as Code (Terraform), or advanced observability stacks (OpenTelemetry, Grafana, Prometheus).

Must have: Python, React, TypeScript, AI, LLM

Nice to have: FastAPI, Django, Flask