AI Agent Architect

GenixBit Labs Pvt. Ltd.; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

GenixBit Labs Pvt. Ltd. is looking for a Senior AI Agent Architect based in San Francisco to design and deploy autonomous multi-agent systems. This role requires extensive experience in AI and software engineering, with a focus on robust workflow coordination and integration of production LLMs.

The ideal candidate should have over 5 years of experience, with deep expertise in frameworks like LangGraph and CrewAI. The position offers a hybrid work environment with a competitive salary ranging from $180k to $240k.

Qualifications

• 5+ years of experience in AI, software engineering, or distributed systems.
• Proven track record of building and deploying multi-agent networks in production.
• Deep expertise with LangChain/LangGraph, LlamaIndex, or CrewAI.
• Strong knowledge of vector databases, embeddings, and context-window optimization.

Responsibilities

• Architect and build robust multi-agent systems and workflow coordination layers.
• Optimize prompting strategy, tool usage, and memory storage loops for autonomous agents.
• Integrate production LLMs with external enterprise databases and APIs.
• Define evaluations, safety guardrails, and reinforcement loops for agent tasks.

Skills

Python

LangGraph

CrewAI

Pinecone

OpenAI API

FastAPI

Job description

Full-time San Francisco USA Hybrid Senior $180k - $240k

About the Role

We are seeking a Senior AI Agent Architect to design and deploy autonomous, multi-agent systems using frameworks like LangGraph, CrewAI, and Autogen. You will build resilient task-delegation networks and advanced cognitive loops for enterprise operations.

Key Responsibilities

• Architect and build robust multi-agent systems and workflow coordination layers
• Optimize prompting strategy, tool usage, and memory storage loops for autonomous agents
• Integrate production LLMs with external enterprise databases and APIs
• Define evaluations, safety guardrails, and reinforcement loops for agent tasks

Requirements

• 5+ years of experience in AI, software engineering, or distributed systems
• Proven track record of building and deploying multi-agent networks in productionDeep expertise with LangChain/LangGraph, LlamaIndex, or CrewAI
• Strong knowledge of vector databases, embeddings, and context-window optimization

• Python
• LangGraph
• CrewAI
• Pinecone
• OpenAI API
• FastAPI