deepsense.ai Sp. z o.o.
Senior Applied AI Engineer
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.
Zakres obowiązków
- 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.
Wymagania
- You must have:
- 6+ 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.
Co oferujemy
- Pakiet sportowy
- Budżet na szkolenia
- Prywatna opieka medyczna
- Karta lunchowa
- Małe zespoły
- Międzynarodowe projekty