Description

Lead the architecture and delivery of AI-native programs, from design through production deployment. You will build multi-agent orchestration systems and drive agentic coding workflows where AI generates significant codebase portions. This role requires translating complex business problems into scalable agent architectures for global stakeholders while mentoring junior engineers.

Responsibilities

• Design and build multi-agent orchestration systems using LangChain, LangGraph, or CrewAI, defining topology, tool routing, and memory strategies.
• Integrate agent systems with enterprise surfaces including APIs, ERPs, CRMs, and data platforms, ensuring robust handling of non-deterministic outputs.
• Lead agentic coding workflows using tools like Claude Code, Cursor, or OpenAI Codex, guiding reviews and shipping code.
• Translate business requirements into technical proposals and roadmaps, presenting architectures to CXO-level stakeholders without unnecessary jargon.
• Mentor junior AI engineers, establish evaluation frameworks, and contribute to internal knowledge bases and reusable accelerators.

Required Skills

• 5+ years of experience in software engineering or AI architecture.
• Deep proficiency in Agent Orchestration using LangChain, LangGraph, or CrewAI.
• Hands-on experience with Agentic Coding Tools such as Claude Code, Cursor, or OpenAI Codex.
• Strong backend development skills in Python and TypeScript.
• Experience integrating with LLM APIs (Anthropic, OpenAI, Gemini) including prompt design and tool use.
• Knowledge of RAG and Vector Stores (Chroma, Weaviate, Pinecone) and understanding of their limitations.
• Proficiency in cloud platforms (Azure, AWS, or GCP) for deployment and infrastructure management.
• Experience with API and System Integration patterns including REST, gRPC, and Kafka.
• Ability to debug non-deterministic agent outputs systematically using observability tools like LangSmith.

Key Skills

Education

Any Gradute