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Lead GenAI Engineer

Remote in Mexico, Dominican Republic
Machine Learning Engineering
& 20 others
Mexico

We are seeking a talented Lead GenAI Engineer to drive the design and delivery of advanced AI-driven workflows for automating mortgage document review, data extraction, and due diligence at scale.

This is an opportunity to work with cutting-edge technologies like AWS Bedrock, LLMs, RAG, and serverless architectures, while collaborating with a cross-functional team to create production-grade solutions that transform enterprise processes.

Responsibilities
  • Deliver production-grade solutions for automating mortgage document OCR, data extraction, and due diligence using AWS Bedrock and supporting cloud services
  • Integrate and optimize GenAI/RAG systems leveraging Bedrock Prompt Engineering, Blueprints, Knowledge Base, chunking strategies, and LLM customization
  • Engineer scalable and reliable cloud pipelines with Python or Node.js, using tools like Lambda functions, Aurora RDS, Step Functions, EventBridge, and SQS
  • Design systems to process up to 2 million documents per hour, ensuring high reliability, robustness, and low latency
  • Implement monitoring, error tracking, and metrics to ensure efficient workflows and system health
  • Collaborate with AI PODs, product owners, and technical leads to accelerate workflow onboarding and enhance delivery speed without compromising quality
  • Apply industry best practices in code quality, infrastructure security, compliance, and data privacy for enterprise-grade solutions
  • Utilize approved AI tools like GitHub Copilot and ChatGPT Sandbox to enhance productivity and write secure code
Requirements
  • 5+ years of experience in Machine Learning Engineering
  • Production experience with AWS Bedrock components like BDA, Blueprints, Knowledge Base, and Agents, including Prompt Engineering and Management
  • Background with LLM architectures, RAG frameworks, and document chunking techniques for retrieval and extraction
  • Proficiency in Python or Node.js for building serverless pipelines
  • Showcase of delivering and maintaining high-throughput workflow solutions using Lambda Functions, Lambda Layers, Step Functions, SQS, EventBridge, Aurora RDS Serverless, and Amazon Textract
  • Competency in real-world deployment of high-volume, high-velocity workflows for enterprise environments
  • Knowledge of cloud architecture patterns, security, performance optimization, and cost-efficient designs for serverless and distributed systems
  • Strong problem-solving skills for debugging and incident management in production environments
  • Effective communication and collaboration skills in fast-paced, remote, cross-functional teams
  • Flexibility to adapt to tight timelines and shifting priorities while safeguarding delivery quality
Nice to have
  • Familiarity with mortgage and real estate document workflows, compliance requirements, and data models
  • Expertise in optimizing large-scale document processing workflows for high throughput
  • Background in AI/ML Ops, monitoring tools, governance, and compliance practices for enterprise cloud environments
  • Advanced understanding of prompt engineering techniques for enhancing GenAI/LLM performance in document automation contexts
  • Capability to leverage GitHub Copilot for enhancing developer productivity and code quality
We offer/Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn