Forward‑Deployed AI Engineer; LLM​/ML

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.

• Strong communication and problem-solving skills; ability to explain risks to non-technical stakeholders.
• Practical experience with LLMs & ML:
  • 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.

• 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).

$ - $

• Full autonomy and end-to-end ownership.
• Impact-focused engineering - outcomes over stack.
• Remote forever - no offices, ever.
• Direct work with the CTO, high visibility, real influence on key decisions.
• Long-term cooperation with no end date.

Mid-Senior level

Full-time

Information Technology

IT Services and IT Consulting