Overview
Remote
Depends on Experience
Contract - W2
Contract - 4 Month(s)
Skills
Cloud Architecture
Blueprint
Artificial Intelligence
Cost Control
Due Diligence
Mortgage
GitHub
Prototyping
Prompt Engineering
Python
Regulatory Compliance
PostgreSQL
Data Extraction
Generative Artificial Intelligence (AI)
AWS Bedrock
LLMs
RAG
Node.js
Amazon SQS
Knowledge Base
Apache Velocity
Job Details
Position: Level: Lead Gen AI engineer
Project duration: 5 months with possible extension
Location: remote in the US
Level: Lead Gen AI engineer
Must have skills: AWS Bedrock, LLMs, RAG, Python or Node.js
Responsibilities
- Deliver production-grade, end-to-end automation workflows for AI-driven mortgage document OCR, data extraction, and due diligence, using AWS Bedrock, AWS Textract and supporting cloud services
- Develop, integrate, and optimize GenAI/RAG solutions using Bedrock Prompt Engineering & Management, BDA/Blueprint/Knowledge Base, chunking strategies, and LLM customization
- Engineer and orchestrate scalable cloud pipelines using Python and/or Node.js: Lambda functions (and Layers), Step Functions, SQS, EventBridge, Aurora RDS, etc.
- Implement massive-scale document processing (target: up to 2 million docs/hour) - focusing on high reliability, low latency, and robust error handling
- Design and deploy efficient, observable, and testable workflows - instrument monitoring, error tracking, and metrics for system health and business KPIs
- Collaborate tightly with product owners, technical leads, and peer developers to accelerate new workflow onboarding, parallelize delivery, and maintain momentum while safeguarding quality
- Apply best practices for code quality, infrastructure-as-code, security, compliance, and data privacy
- Use GitHub Copilot, ChatGPT Sandbox, and other approved AI tools to improve productivity and accelerate secure code development
Must-Have Skills & Experience
- Production experience with AWS Bedrock, including:
- Bedrock Data Automation (BDA)
- BDA Blueprint
- Bedrock Knowledge Base
- Bedrock Agents
- Bedrock Prompt Engineering and Management
- Hands-on expertise with LLMs, RAG architectures, and document chunking for retrieval/extraction
- Strong Python or Node.js development skills for cloud serverless pipelines
- Proven track record building, deploying, and maintaining high-throughput, enterprise-grade solutions using:
- AWS Lambda Functions & Lambda Layers
- Step Functions
- SQS
- EventBridge
- Aurora RDS Serverless (PostgreSQL)
- Amazon Textract (OCR/Document AI)
- Direct experience delivering real production solutions (not just prototypes/POCs) in high-volume, high-velocity workflows
- Strong knowledge of cloud architecture patterns, security, performance optimization, observability, and cost control for serverless, distributed workloads
- Excellent problem solving, debugging, and incident triage skills
- Effective collaboration and communication in a remote, fast-moving, cross-functional environment
- Adaptability and resilience to maintain velocity and quality under tight timelines and shifting priorities
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.