Lead Gen AI engineer
Posted 3 days ago by 1750837172
Negotiable
Outside
Remote
USA
Summary: The Lead Gen AI Engineer will be part of a specialized GenAI team focused on automating mortgage document review and data extraction. This role involves building and optimizing workflows using AWS Bedrock and other serverless services, while collaborating with various stakeholders to ensure successful project execution. The position is remote and offers a duration of 5 months with the possibility of extension. The role is classified as outside IR35.
Key Responsibilities:
- Build, optimize, and maintain workflows for mortgage document review and data extraction.
- Leverage AWS Bedrock, LLMs, RAG, and serverless services for solution development.
- Collaborate with AI POD, product owners, and technical leaders on high-impact projects.
- Contribute to engineering, performance optimization, troubleshooting, and deployment.
- Apply best practices in enterprise AI for reliability, scalability, security, and compliance.
Key Skills:
- AWS Bedrock
- LLMs
- RAG
- Python or Node.js
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Position: Lead Gen AI engineer
Location: Remote
Duration: 5 months with possible extension
Must have skills: AWS Bedrock, LLMs, RAG, Python or Node.js
Description:
Join a specialized GenAI team that will deliver scalable, production-grade solutions to automate mortgage document review, data extraction, and due diligence. You will build, optimize, and maintain workflows leveraging AWS Bedrock (BDA, Blueprints, Knowledge Base, Agents), LLMs, RAG, chunking strategies, and a full suite of AWS serverless services (SQS, Lambda, Aurora RDS, EventBridge, Step Functions, Textract). You ll contribute across engineering, performance optimization, troubleshooting, deployment, and process improvement throughout the workflow lifecycle - all within an existing, cloud-based architecture.
You ll collaborate closely with client's existing AI POD, product owners, and technical leaders to execute high-impact projects end-to-end, from proof-of-concept through production deployment. You ll apply current best practices in enterprise AI for reliability, scalability, security, and compliance.