Senior Applied AI Engineer

O projekcie 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.

Oferujemy

• Sport subscription
• Training budget
• Private healthcare
• Lunch card
• Small teams
• International projects
• Free coffee
• Canteen
• Free snacks
• Free beverages
• Free lunch
• In-house trainings
• Modern office
• No dress code
• Free breakfast
• In-house hack days

Etapy rekrutacji

• HR phone screening [30 min]
• 1st technical interview [70 min]
• 2nd technical interview [90 min]
• Interview with the hiring manager [45 min]