Senior AI Agent & LLM Architect

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

Job summary

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

The role requires 5+ years in AI engineering or distributed systems, strong Python/PyTorch/LangGraph expertise, and experience deploying Llama 3, Mistral, Qwen variants on AWS GPU clusters. This is a hybrid, full-time position in the SF Bay Area.

Qualifications

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

Responsibilities

• Architect resilient multi-agent orchestration frameworks.
• Optimize vector indexing, context-window retrieval, and prompt guardrails.
• Deploy open-source LLMs with vLLM on AWS GPU clusters.
• Conduct system evaluations for latency, safety guardrails, and accuracy.

Skills

Python

NLP

Distributed systems

Autonomous multi-agent

Tools

LangGraph

LangChain

Pinecone

Qdrant

vLLM

AWS

PyTorch

FastAPI

Job description

Senior AI Agent & LLM Architect

Full-time San Francisco USA Hybrid Senior $185,000 - $245,000 / year Posted: Sep 12, 2026 · Closes: Oct 2, 2026

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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