Senior AI Engineer
SeniorHybrid
Description
- 8+ years of engineering experience , with at least 2 years focused on LLM-based systems, agents, or applied ML in production.
- Agentic Systems Expertise: Hands-on experience building multi-agent architectures, tool-calling workflows, and orchestration frameworks (e.g. LangGraph, CrewAI, ADK, or custom).
- Prompt Engineering & Evals: You treat prompts as code — versioned, tested, and measured. You know how to systematically debug and improve LLM behavior.
- AI-Native Development: You actively use agentic coding tools (Claude Code, Cursor, etc.) to accelerate your own workflow.