Gen AI Adoption Lead (Engineering Productivity)
Gen AI Adoption Lead (Engineering Productivity)
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Job Description
N-iX is a global company with Ukrainian roots that helps businesses across the world develop successful software products. Founded in 2002 N-iX has come a long way and increased its presence in nine countries spanning Europe the US and Latin America. Today we are a strong community of 2000 professionals and a reliable partner for global industry leaders and Fortune 500 companies. We are committed to continuous innovation and are now strategically leveraging Generative AI to significantly enhance our Software Development Life Cycle (SDLC) productivity.
We are looking for a skilled Gen AI Adoption Lead (Engineering Productivity) to join our team.
Were building a small sharp team to reinvent how software gets builtusing GenAI to augment the SDLC end-to-end. Youll lead by doing: pilot use cases wire tools into real workflows (CLI/IDE/CI) and teach teams to ship faster with higher quality. No hypemeasurable impact.
You will be joining a core 6-person GenAI Adoption group inside Engineering. We partner directly with delivery teams to make AI a daily habit (coding tests reviews docs DevOps). Think: Copilot/Claude/Cursor scripts/agents CI hooks. Were remote-first across the EU/EE (PL/UA welcome).
Key Responsibilities:
- Embed AI in the SDLC: turn nice demo into daily CLI/IDE workflows and CI steps.
- Run fast pilots: pick 23 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.
Requirements:
- 5 years as hands-on engineer (Java 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.
- Youve 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 may not like the role if:
- You prefer slideware over shipping.
- You avoid terminals and CIthis is engineer-first not tool theater.
- You want certainty. We iterate measure and change course fast.
We offer*:
- 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
*not applicable for freelancers
Employment Type
Full Time
