Generative AI Tech Lead | AWS Bedrock & LangChain

Robotic Technologies Automation

Sunnyvale (CA)

On-site

USD 83,000 - 105,000

Full time

5 hours ago
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Job summary

Robotic Technologies Automation in Sunnyvale, CA seeks an AI Technical Lead focused on Generative AI to design and implement scalable AI-powered solutions using AWS Bedrock, LangChain and LangGraph. You will lead a team of engineers, develop backend services in Python, and optimize deployments for performance and cost, in tight collaboration with enterprise data sources and APIs.

The role requires mentoring developers, setting technical direction, and delivering end-to-end projects for

Qualifications

  • Strong experience in Generative AI and LLM-based applications.
  • Hands-on experience with AWS Bedrock.
  • Proficient Python programming and development skills.
  • Experience with LangChain and LangGraph.
  • Knowledge of prompt engineering, RAG, and AI agent development.
  • Strong understanding of AWS cloud services and architecture.
  • 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
AWS Cloud
LangChain
LangGraph
Prompt engineering
RAG
AI agent development
AWS Bedrock

Tools

AWS Bedrock
LangChain
LangGraph

Job description

Robotic Technologies Automation in Sunnyvale, CA seeks an AI Technical Lead focused on Generative AI to design and implement scalable AI-powered solutions using AWS Bedrock, LangChain and LangGraph. You will lead a team of engineers, develop backend services in Python, and optimize deployments for performance and cost, in tight collaboration with enterprise data sources and APIs.

The role requires mentoring developers, setting technical direction, and delivering end-to-end projects for

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