Senior AI Agent & LLM Architect

GenixBit Labs Pvt. Ltd.; San Francisco (CA); Hybrid; USD 185,000 - 245,000; Full time

Job summary

GenixBit Labs Pvt. Ltd. in San Francisco seeks a Senior AI Agent & LLM Architect to design and deploy production-grade multi-agent cognitive networks, RAG memory pipelines, and autonomous reasoning loops for enterprise automation.

You will architect resilient orchestration frameworks using LangGraph, CrewAI, and AutoGen, optimize vector indexing and prompt guardrails, and deploy LLMs on AWS GPU clusters. The role requires 5+ years in AI engineering with hands-on Python, PyTorch,

Qualifications

• 5+ years in AI engineering, NLP, or distributed systems.
• Hands-on mastery of Python, PyTorch, LangChain/LangGraph, and Pinecone/Qdrant.
• Proven track record of shipping autonomous multi-agent networks in production.
• Strong expertise in vector embeddings and enterprise API integration.

Responsibilities

• Architect resilient multi-agent orchestration frameworks using LangGraph, CrewAI, and AutoGen.
• Optimize vector indexing, context-window retrieval, and prompt guardrails.
• Deploy open-source LLMs (Llama 3, Mistral, Qwen) with vLLM on AWS GPU clusters.
• Conduct system evaluations for latency, safety guardrails, and accuracy.

Skills

AI engineering

NLP

Distributed systems

Multi-agent systems

Tools

Python

PyTorch

LangGraph

Pinecone

FastAPI

AWS

Job description

Senior AI Agent & LLM Architect

Full-time San Francisco USA Hybrid Senior $185,000 - $245,000 / year

About the Role

Design and deploy production-grade multi-agent cognitive networks, RAG memory pipelines, and autonomous reasoning loops for enterprise automation.

Key Responsibilities

• Architect resilient multi-agent orchestration frameworks using LangGraph, CrewAI, and AutoGen
• Optimize vector indexing, context-window retrieval, and prompt guardrails
• Deploy open-source LLMs (Llama 3, Mistral, Qwen) with vLLM on AWS GPU clusters
• Conduct system evaluations for latency, safety guardrails, and accuracy

Requirements

• 5+ years in AI engineering, NLP, or distributed systems development
• Hands-on mastery of Python, PyTorch, LangChain/LangGraph, and Pinecone/Qdrant
• Proven track record of shipping autonomous multi-agent networks in production
• Strong expertise in vector embeddings and enterprise API integration

• Python
• PyTorch
• LangGraph
• Pinecone
• FastAPI
• AWS