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 Nice-to-Have Skills • Knowledge of mortgage and/or real estate document workflows, compliance, or data models • Experience optimizing or parallelizing workflow orchestration for massive-scale document processing • Familiarity with AI/ML Ops, monitoring tools, and enterprise governance and compliance in cloud environments • Advanced prompt engineering for GenAI/LLMs in document automation scenarios • Experience leveraging GitHub Copilot or comparable AI-powered coding tools in secure, enterprise settings