deepsense.ai
Senior Fullstack Developer
Skills
17 days ago
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Important information
Contract type:
Freelance / Contract
Location:
Poland
Work mode:
Remote, Hybrid
Published on:
2 October 2026
What they need
Poland
(
remote / hybrid — offices and coworks in major polish cities
)
for this position
Position overview
Must have:
CI/CD, Docker, Git, Kubernetes, LLM APIs, Observability, Python, React, REST API, SQL, TypeScript, Vector Databases
Employment type:
B2B
Operating mode:
Remote / Hybrid — offices and coworks in major Polish cities
Location:
Poland
About deepsense.ai
At deepsense.ai, we won’t just build AI solutions – we’ll shape how companies around the world use them.
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- 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.
Your Role as Senior Fullstack
What makes this role stand out:
- 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.
Why it’s worth it:
- You work at the intersection of modern software engineering and generative AI, taking models out of isolation and turning them into reliable, user-facing applications.
- You get hands-on exposure to varied client environments, consulting setups, and evolving toolchains, with direct influence over architecture, technology choices, and engineering tradeoffs.
- You have space to grow your impact—whether advancing deeper into AI architecture and agentic system design, or taking on broader system engineering and client leadership roles.
A few project examples:
- Training multimodal LLMs for drug discovery.
- Building AI voicebots that double conversion rates.
- Creating a GenAI solution for a leading US legal company together with the OpenAI team.
- Running GenAI on edge devices with cloud-level performance.
All of this in a setup that feels like an AI-driven software house: remote-first, flexible, and packed with specialists who are open to sharing knowledge and experimenting with the newest tech.
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).
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.
Other offers great for you!
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