
Gen AI Adoption Lead (Engineering Productivity)
- Украина
- Постоянная работа
- Полная занятость
- Embed AI in the SDLC: turn “nice demo” into daily CLI/IDE workflows and CI steps.
- Run fast pilots: pick 2–3 high-ROI use cases per account, ship in weeks, measure, scale.
- Build glue + agents: small tools, prompts, and automations that actually stick.
- Coach by pairing: live code-along, short playbooks, internal demos.
- Measure outcomes: baseline → deltas (cycle time, PR throughput, defects, time saved).
- Keep it safe: model/provider choices, data handling, guardrails, policy basics.
- 5+ years as hands-on engineer (Java or .NET great; Python/TS welcome).
- Daily driver of GenAI coding tools (Copilot, Claude Code, Cursor, Code LLMs).
- Comfort with CLI/IDEs/CI (GitHub/GitLab, JetBrains, VS Code, Bash), and wiring APIs.
- You’ve shipped at least one AI-assisted workflow (tests, codegen, review bot, docs).
- You can teach: workshops, pairing, short guides. Clear English, straight talk.
- Pragmatic about quality & security (you know when AI output is not production-ready).
- Bonus: AWS/Azure, Kubernetes/Terraform, prompt patterns, lightweight agent orchestration.
- You prefer slideware over shipping.
- You avoid terminals and CI—this is engineer-first, not tool theater.
- You want certainty. We iterate, measure, and change course fast.
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
- • •
Please review our and
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