Generative AI Tech Lead | AWS Bedrock & LangChain

Quantum Technologies LLC; Sunnyvale (CA); On-site; USD 83,000 - 110,000; Full time

Job summary

Quantum Technologies LLC in Sunnyvale, CA seeks an AI Technical Lead to drive design and development of Generative AI solutions using AWS Bedrock, LangChain, and LangGraph, and to lead architecture for enterprise-grade AI applications.

Responsibilities include building scalable backend services in Python, deploying AI pipelines on AWS, integrating LLMs with APIs and data sources, and optimizing performance, cost, and security across cloud-native architectures.

Qualifications

• Experience in Generative AI and LLM-based applications.
• Hands-on Python programming and development skills.
• Knowledge of AWS Bedrock, LangChain and LangGraph.
• Understanding of prompt engineering, RAG, and AI agents.
• Experience leading technical teams and delivering enterprise AI solutions.

Responsibilities

• Lead the design and development of Generative AI and LLM-based applications.
• Build and deploy AI solutions using AWS Bedrock.
• Develop backend services and AI applications using Python.
• Implement AI workflows, agents, and orchestration using LangChain and LangGraph.
• Design scalable, secure, and high-performance AI architectures on AWS.
• Lead technical discussions, mentor developers, and drive end-to-end delivery.
• Integrate LLMs with enterprise applications, APIs, and data sources.
• Optimize AI solutions for performance, scalability, and cost.

Skills

Generative AI / LLMs

Python

Prompt engineering

RAG

AI agent development

AWS cloud services

Tools

AWS Bedrock

LangChain

LangGraph

Job description

Quantum Technologies LLC in Sunnyvale, CA seeks an AI Technical Lead to drive design and development of Generative AI solutions using AWS Bedrock, LangChain, and LangGraph, and to lead architecture for enterprise-grade AI applications.

Responsibilities include building scalable backend services in Python, deploying AI pipelines on AWS, integrating LLMs with APIs and data sources, and optimizing performance, cost, and security across cloud-native architectures.