Who We Are Qualifiche, competenze e l'esperienza necessaria per questo ruolo sono disponibili nella descrizione completa riportata di seguito. We are looking for a hands‐on AI Engineer to help improve and scale an internal platform that enables engineering teams to ship faster and safer using AI‐powered workflows. This role is focused on practical AI engineering, not AI research or pure platform architecture. You will work on agentic workflows, prompt engineering, evaluation pipelines, GitHub‐based automation, and developer tooling that helps teams adopt AI agents consistently across repositories.
The immediate need is to strengthen, stabilise, and mature the current implementation through hands‐on engineering, especially in agent development, testing, evaluation, and workflow reliability.
This is an excellent fit for someone who already uses AI coding agents as part of their daily workflow and knows how to turn AI capabilities into reliable engineering tooling.
Build and improve AI workflows across repositories
Design agent workflows for docs, testing, code quality, reviews, and security




Use AI coding tools (e.g., Copilot, Cursor) to accelerate delivery
Design evaluation pipelines for prompts and agents
Use code‐based and LLM‐based evaluators
Define quality gates before production
Build reusable templates and onboarding tools
Develop CLI/scripts for easy adoption
Enable self‐service usage
Maintain GitHub Actions and CI/CD patterns
Ensure secure design (least privilege, secrets, OIDC)
Improve security controls and automation safety
Mitigate risks (prompt injection, data leaks)
Keep changes testable and production‐safe
BSc/MSc in Computer Science or related field
Minimum 6+ years as a Platform Engineer
Strong hands‐on experience with Python for scripting, automation, evaluation tooling, or integrations
Practical experience building with LLMs, prompts, AI agents, or agentic workflows in real engineering or production contexts
Daily use of AI coding assistants or codin

📌 Remote Engineer (Italia)
🏢 Ntt Data Europe & Latam
📍 Italia