Our client is looking for a hands-on Engineering Lead who owns its own AI Platform technical execution, architecture, code quality, and delivery across three AI abilities areas: Document AI, RAG, and Agentic AI Platform. Writes code, reviews code, and personally implements the most critical components. Must handle AI-specific non-functionals: model latency, token cost, retrieval quality, agent reliability, evaluation discipline. Collaborates with AI Research Lead on model selection and retrieval quality. 

What You Own:

• Farabi technical architecture: service decomposition, retrieval-pipeline design, agent-framework design, evaluation harness, security, deployment topology.
  
• Hands-on implementation of architecturally sensitive, performance-critical, and security-sensitive AI components.
  
• Architecture decision log: model adoption, vector-DB choice, ...