Tech Stack

Description

You will design, build, and productionize agentic AI systems—LLM-powered agents that can plan, use tools, orchestrate workflows, and operate reliably under enterprise constraints. You'll own key parts of the agent architecture and deliver end-to-end solutions across RAG, function calling, multi-agent coordination, and scalable deployment.

Requirements

• 6+ years software engineering experience; 2+ years building LLM/GenAI systems in production
• Strong programming skills in Python (required) and/or TypeScript/Node.js
• Hands-on experience building agents beyond simple chatbots
• Experience with RAG: embeddings, vector databases, hybrid retrieval, re-ranking
• Proven ability to ship production services with Docker/Kubernetes, CI/CD, monitoring

Responsibilities

• Design and implement agentic systems (single-agent and multi-agent architectures)
• Build robust tool-using agents with function calling, tool schemas, retries, and rate limiting
• Implement RAG + memory patterns including retrieval strategies and long-term memory
• Develop workflow orchestration for agent execution with state machines and graphs
• Productionize GenAI services: APIs, streaming, caching, and cost optimization