Agentic AI Engineer (Engineering, Web&Mobile Team)

Agentic AI Engineer (Engineering, Web&Mobile Team)

As an Agentic AI Engineer, you will build AI-powered workflows that accelerate engineering teams and improve developer productivity. You will orchestrate LLMs and AI agents into reliable, production-grade tooling that operates at scale. The role requires strong software engineering/architecture expertise, combined with a product mindset and the ability to adapt quickly in the rapidly evolving agentic AI landscape.

What you’ll have to 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 makes you a good fit:

• 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, Copilot, Aider, etc.) — you use them daily and understand what makes them effective;
• Experience with LLM APIs and structured outputs (OpenAI, Anthropic, etc.), prompt chains, agent frameworks (LangGraph, CrewAI, etc.);
• Ability to think in systems and design for reliability, testability, and observability;
• Comfortable balancing speed and quality in a fast-evolving space;
• Good communication skills and a collaborative mindset — you work well with other engineers, product managers, and stakeholders.