Job description
Position overview
Position overviewMust have: AI, AWS, Azure, Client Workshops, Docker, GCP, Kubernetes, LLMsMust have:
Must have:AI, AWS, Azure, Client Workshops, Docker, GCP, Kubernetes, LLMsEmployment type: B2BEmployment type:
Employment type:B2BOperating mode: Hybrid — offices and coworks in major Polish citiesOperating mode:
Operating mode:Hybrid — offices and coworks in major Polish citiesLocation: PolandLocation:
Location:PolandPosition 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. 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. 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 5+ 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) A real-impact, end-to-end ownership mindset — you want to solve real problems for real users, not chase hype or leave a PoC that never ships to production Based in Poland, with a valid work permit allowing you to work here 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.Position overview
Position overviewWe’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
About deepsense.aideepsense.ai is a 120-person AI/ML consultancy. 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. 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
About the roleThe 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
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
You must have- 5+ 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)
- A real-impact, end-to-end ownership mindset — you want to solve real problems for real users, not chase hype or leave a PoC that never ships to production
- Based in Poland, with a valid work permit allowing you to work here
You may have
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
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
We OfferImpactful AI projects
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
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
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
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.
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