N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact. 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.

We’re building a small, sharp team to reinvent how software gets built—using GenAI to augment the SDLC end-to-end. You’ll lead by doing: pilot use cases, wire tools into real workflows (CLI/IDE/CI), and teach teams to ship faster with higher quality. No hype—measurable impact.

You will be joining a core, 6-person GenAI Adoption group inside Engineering. You’ll cover Americas time zones, partner with delivery leads, and turn AI from “tooling” into throughput. Stack: Copilot/Claude/Cursor + CLI/IDE/CI + Cloud and more.

Key Responsibilities:

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.

Requirements:

Strong software engineering background (Java/.NET welcome; Python/TS useful).Practical use of GenAI dev tools (Copilot, Claude Code, Cursor; LLM APIs a plus).You’ve embedded AI into one or more SDLC stages and can show the results.Comfort with Git/CI, cloud basics, scripting, and terminal-first workflows.Clear communication in English.Bonus: AWS/Azure Clouds, Kubernetes/Terraform, prompt patterns, lightweight agent orchestration.

You may not like the role if:

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.

We offer*:

Flexible working format - remote, office-based or flexibleA competitive salary and good compensation packagePersonalized career growthProfessional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)Active tech communities with regular knowledge sharingEducation reimbursementMemorable anniversary presentsCorporate events and team buildingsOther location-specific benefits

*not applicable for freelancers