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eMAG

Agentic AI Engineer

RemoteRomania only
Published
Role
AI / ML
Company size
Enterprise
Salary not disclosed
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Open to RO only. Set where you work from to check your eligibility.

No BS summary

AI Engineer to build AI-powered workflows for engineering teams and improve developer productivity. Requires strong software engineering/architecture expertise, Python, and experience with agentic coding tools and LLM orchestration frameworks. Must be comfortable with cloud, Docker, and Kubernetes.

Core skills

PythonAgentic AILLM orchestration

Required skills

Bash / Shell scriptingDockerKubernetesLLM tool callingMCP (Model Context Protocol)

Optional skills

Multi-agent / agent orchestration patterns at scaleRAGLLM eval/ observabilityLangfuseTypeScript / JavaScriptGoPHPAnthropic

Required languages

English

What you'll do

  • Design and ship agentic workflows across the dev lifecycle — auto-documentation, test generation on MRs, parity testing for migrations, review augmentation
  • Build reusable platform components: MCP servers, tool integrations, prompt/ orchestration libraries other teams can self-serve
  • Own eval & observability for AI flows (Langfuse, LLM-as-judge, regression suites) so outputs are trustworthy, not just impressive demos
  • Deploy flows as production services (Docker, K8s) with proper CI/CD and cost/ latency awareness
  • Drive adoption at scale — measure impact via developer-productivity metrics (e.g. getDX), iterate on what actually moves throughput and cycle time
  • Keep pace with and adapt to the fast-moving agentic landscape — continuously evaluate new tools, models, and patterns, fold the useful ones into how the org works, and bring pragmatic choices

What they require

  • Strong programming fundamentals and a track record shipping production-grade software (Python is the primary language of the agentic ecosystem)
  • Hands-on with agentic coding tools (Claude Code, Cursor, Aider, Copilot) and having built at least one real agentic flow in production
  • Working knowledge of LLM tool calling and MCP (Model Context Protocol)
  • Experience with one or more orchestration frameworks (LangGraph, LangChain, or equivalent custom orchestration on LLM provider APIs)
  • Comfortable with cloud, Docker, and Kubernetes
  • Solid Bash / Shell scripting

Benefits

  • Medical subscription: Medicover or Regina Maria.
  • A flexible budget that you can invest in yourself as you wish: meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Therme & Genius, membership to different gyms or even professional development classes.
  • Different discounts from our partners: banking, mobile, dental medicine or wellness.
  • Access to the Bookster library and free credits on the Hilio psycho-emotional health platform.
  • An accelerated learning environment, with access to over 100.000 curated online resources and platforms, learning academies and development programs.
  • New headquarters, where sleek design, natural light, and versatile spaces create an energizing and comfortable environment for hybrid work.

eMAG

We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results. More than 6000 colleagues are part of eMAG Teams . We strongly believe in people's development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you’ll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. Join us, grow faster !

Technology
Salary not disclosed