Forward‑Deployed AI Engineer (LLM/ML)Develocraft sp. z o.o. • Gdańsk, Pomeranian, Poland

Forward‑Deployed AI Engineer (LLM / ML)

Develocraft sp. z o.o. • Gdańsk, Pomeranian, Poland

4 dni temu

Opis pracy

technologies-expected :

Python
SQL
FastAPI

technologies-optional :

Jupiter Notebook

Docker

Kubernetes

LLM

about-project :

Take ownership of deploying, integrating, and maintaining company products in client environments.

Use technology to solve business-critical problems.

Focus on improving risk detection, fewer false positives, faster decisions, better explanations, and lower cost per case.

responsibilities :

Engaging directly with users - observing their workflows, understanding current processes, constraints, and desired improvements.

Defining measurable hypotheses and KPIs such as precision / recall, false-positive reduction, turnaround time, coverage, and cost efficiency.

Designing decision pipelines combining LLMs, retrieval systems / RAG, classic ML components, and lightweight rules - all with auditability and explainability in mind.

Prototyping fast - from notebooks to small APIs / services - and validating results on real datasets.

Preparing evaluation datasets and scoring rubrics including offline tests, side-by-side comparisons, sanity checks, and guardrails.

Presenting outcomes to business leaders and proposing rollout strategies (pilot → production-lite → full deployment).

Driving internal innovation, sharing findings, mentoring peers, and promoting effective AI practices across the company.

requirements-expected :

Proven delivery track record 2–3 concrete cases where your AI / ML work significantly improved key metrics in any domain.

Strong communication and problem-solving skills; ability to explain risks to non-technical stakeholders.

Practical experience with LLMs & ML : RAG, prompting, tool-calling, classification / ranking / deduplication, fundamentals of evaluation & experimentation

Python + SQL sufficient to build and maintain working prototypes.

Fluency in English and Polish for user interviews and concise documentation.

offered :

Full autonomy and end-to-end ownership.

Impact-focused engineering — outcomes over stack.

Real users, real data, real decisions.

Remote forever — no offices, ever.

Direct work with the CTO, high visibility, real influence on key decisions.

Long-term cooperation with no end date.

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