Position overview
We’re looking for an Applied AI Engineer to turn a client’s AI ambition into working systems — and to build it hands-on, right alongside them. You’ll help shape the approach early, build proofs of concept that prove out what’s possible in a matter of weeks, and ship production-grade AI not long after. It’s real engineering done in close partnership with the client: understanding the need, then writing the code that brings it to life. An applied role across the whole arc of an engagement — from scoping the right solution to delivering it in production.
About deepsense.ai
deepsense.ai is a 120-person AI/ML consultancy with Anthropic and OpenAI partner credentials. For over a decade we’ve delivered applied AI projects for companies like J&J, Sky, John Deere, and GLS — spanning LLM applications, agents, MLOps, and data science. We’re a people-first organization that believes in deep technical craft and real ownership. Our engineers don’t just advise; they build things that run in production.
About the role
The Applied AI Engineer works close to the client across the whole engagement: in the presales conversations understanding what they actually need, drafting the architecture for it, and then delivering it hands-on, super close with the client. You’ll move across that work fluidly — one moment shaping the approach in a scoping workshop, the next committing code to their repo and owning a production agent in their environment.
You’ll work alongside our own team and the client’s, and you’ll be equally at home in a discovery workshop and a pull request review.
Responsibilities
- Partner with Delivery Managers to scope and win AI engagements — run technical discovery, design solution architectures, build and demo POCs that help win the work
- Act as the primary technical advisor during early post-sales phases, shaping how clients build on top of LLMs and agentic systems
- Work hands-on inside client engagements — in their systems and close to their team — shipping production code and, where the engagement calls for it, owning critical AI deployments end to end
- Design and build LLM-powered applications: RAG pipelines, multi-agent systems, MCP integrations, evaluation frameworks, and production inference stacks
- Run technical workshops and architecture reviews; transfer knowledge in ways that build lasting capability in client teams
- Contribute to reusable internal assets: solution blueprints, reference implementations, prompt libraries, evaluation toolkits
- Stay at the leading edge of the applied AI space — new models, tooling, and patterns — and bring that knowledge into client work
You must have
- 4+ years of software engineering experience, with at least 2 years working on AI/ML or LLM-powered systems in production
- Hands-on production experience with LLMs: prompting, context engineering, agent architectures, tool use, RAG, evaluation
- Strong Python skills and experience shipping software that real users depend on
- Demonstrated ability to work directly with clients — you can run a technical scoping call, facilitate a workshop, and earn trust quickly with engineers and non-engineers alike
- Experience owning deliverables end-to-end in ambiguous environments without close supervision
- Familiarity with cloud platforms (GCP / AWS / Azure) and containerized deployment (Docker, Kubernetes)
You may have
- Experience supporting the sales process as the technical expert — building POCs, scoping, and answering clients’ technical questions before a deal is signed
- Hands-on experience with agentic frameworks: LangGraph, CrewAI, Pydantic AI, or MCP server development
- Familiarity with LLMOps tooling: LangSmith, Langfuse, W&B, or equivalent
- Experience building in regulated-industry environments (finance, healthcare, manufacturing)
- Exposure to model evaluation methodologies, or LLM-as-a-judge patterns
- A track record of building internal tools, demos, or reference implementations that other engineers reuse
We offer
- Work on frontier AI problems with real clients and real production stakes
- Close collaboration with Anthropic and OpenAI through our partnerships, working at the frontier of applied AI
- A team of 120+ specialists you can learn from and co-create with
- Competitive compensation benchmarked to the market
- Flexible hybrid work — remote + offices and coworks in major Polish cities
- Conference budget and learning allowance
- Equipment of your choice
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.