onsite
AI Agentic Systems Architect
AI Agentic Systems Architect
As an AI Agentic Systems Architect, you will lead the design and development of complex, multi-agent systems using technologies like LangGraph/LangChain. Your responsibilities include architecting solutions, building evaluation pipelines, optimizing RAG systems, and making strategic decisions on model usage for performance and cost efficiency.
About the role
About the Role
We are seeking an experienced AI Agentic Systems Architect to lead the design and development of complex, multi-agent systems. This role involves working with cutting-edge technologies and optimizing AI applications for performance, cost, and scalability.
Responsibilities
- Lead the architectural design of complex, multi-agent systems using LangGraph/LangChain that can handle long-running, asynchronous enterprise tasks.
- Own the "Evals": Design and build automated evaluation pipelines to measure agent accuracy, hallucination rates, and success metrics before deploying to production.
- Production Hardening: Optimize RAG pipelines for scale—tuning chunking strategies, retrieval algorithms, and vector search parameters for maximum relevance and speed.
- Cost & Latency Engineering: Make critical decisions on when to use massive foundation models (GPT-4) vs. smaller, specialized models to balance performance with unit economics.
- Collaborate with the Product Team to translate ambiguous business requirements ("Fix the ERP data") into concrete agentic behaviors and tool definitions.
- Mentor junior AI engineers, conducting code reviews and helping them level up their understanding of LLM application architecture.
Skills
LanggraphLangchainRagGPT 4