Forward‑Deployed AI Engineer

2 tygodni temu

Poland develocraft Pełny etat 60 000 zł - 120 000 zł rocznie
What You Will Do
  • 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.
RequirementsMust-have
  • 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.
  • Polish & English fluency for user conversations and write-ups.
  • Curiosity, solid fundamentals, and a habit of delivering meaningful outcomes.
Nice-to-have
  • 2–3 examples of delivered AI/ML solutions with measurable KPI improvement (expected for Mid; nice-to-have for Junior).
  • Experience in investigations, trust & safety, fraud, risk, audit, or other complex decision workflows.
  • Graphs/ER: entity resolution, link analysis, pattern-of-life.
  • Light engineering: FastAPI, Docker (K8s/CI/CD/Terraform not required).
Salary Range
  • Junior: – PLN net (B2B)
  • Mid: – PLN net (B2B)
Why Join Us?
  • 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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