AI Assisted Engineering Practitioner / Coach
About the Position
We are looking for an AI Assisted Engineering Practitioner / Coach to lead that adoption through hands on involvement. A hands on engineer, not a researcher or trainer, who demonstrates responsible AI tool usage in real delivery contexts and transfers that knowledge across squads through enablement sessions and documented guidelines. The role requires working from the office three days per week.
About the Project
DataArt squads are embedded within client product delivery teams on a multi year capital markets program. The AI Practitioner works as an active engineer on delivery tasks, uses AI tools in their daily workflow, and coaches colleagues to do the same effectively and responsibly. GitHub Copilot is the currently approved tool, and additional tools may be evaluated during the program. Teams are distributed across the EU and work fully remotely.
Responsibilities
- Work as an active software engineer on program tasks, using AI coding assistants in your daily workflow.
- Design and deliver enablement sessions on effective prompting, critical review of AI generated code, and responsible use boundaries.
- Define responsible use guidelines aligned with InfoSec and IP policies.
- Track and report adoption metrics, including the number of engineers using the tools, quality impact, and time to feature comparisons.
- Evaluate and pilot new AI engineering tools, and provide evidence based recommendations.
- Collaborate with the Secure Engineering practitioner on AI tool risk assessments, including data leakage, IP exposure, and code quality drift.
Requirements
- 3+ years of experience as a practicing software engineer. Code should be your primary language of work.
- Hands on daily use of AI coding assistants such as GitHub Copilot, Cursor, or equivalent tools in real projects.
- Ability to critically evaluate AI generated code and identify hallucinations, security issues, and logic errors.
- Comfortable delivering coaching sessions to peer engineers.
- Understanding of enterprise AI governance, including data privacy, IP, and acceptable use policies.
- Python or Java as a primary programming language.
- Proficient English for technical communication (B2+).
- This position requires the candidate to be based in either Cluj-Napoca or Bucharest.
Nice to Have
- Advanced prompt engineering knowledge, including context window management, RAG patterns, and tool use APIs.
- Experience evaluating AI tools in regulated or IP sensitive environments.
- Background in engineering coaching or internal developer tooling.
