AI Engineer

Who We Are

Xactus (pronounced 'Zac-tus') is the leading verification innovator for the mortgage industry. We have over 6,500 clients ranging from the largest bank and non-bank mortgage originators to credit unions and mortgage brokers. Xactus works closely with our clients to digitally integrate a 360° approach to verification across their workflows. As a result, lenders can easily access the technology necessary to meet consumer demands for a modern mortgage experience with industry-leading speed, reliability, and accuracy – while also closing more loans more quickly with greater profitability.

Xactus (pronounced 'Zac-tus') is the leading verification innovator for the mortgage industry. We have over 6,500 clients ranging from the largest bank and non-bank mortgage originators to credit unions and mortgage brokers. Xactus works closely with our clients to digitally integrate a 360° approach to verification across their workflows. As a result, lenders can easily access the technology necessary to meet consumer demands for a modern mortgage experience with industry-leading speed, reliability, and accuracy – while also closing more loans more quickly with greater profitability.

Xactus is proud to provide a friendly work environment that is primarily remote. Our workforce provides many opportunities for you to enhance your skills with our top-notch financial leadership team who prioritizes building talent. If you are curious and searching for a change that will be fun and rewarding, please reach out to us! We would love to have you on our team!

You are a career-minded, driven individual who is looking for a position that challenges you and supports your professional development.

A friendly, supportive environment which is highly rated by Xactus employees. Feedback from our employees says: “The people I work with treat each other with respect,” “I feel accepted by my coworkers,” and “The person I report to cares about me as a person.”

• medical, vision and dental insurances
• bonus programs
• fitness reimbursement
• other healthy life-style programs through our benefits carrier
• 401k plan with a company match
• short and long-term disability
• life insurance
• accident and critical illness insurance
• health savings account
• flexible spending account
• employee assistance program
• legal services
• employee discounts
• and more

The AI Engineer (GenAI Features) specializes in designing, building, and deploying production-grade generative AI applications. This role focuses on translating GenAI concepts into customer-facing and internal features using modern LLM frameworks (Lang Chain, Lang Smith, Agentcore) and advanced retrieval architectures (RAG, GraphRAG with Neo4j/Neptune). The AI Engineer collaborates closely with Dev Ops and data engineering teams to architect end-to-end solutions, write custom ETL logic, and optimize retrieval systems.

Success requires deep expertise in GenAI patterns, knowledge graph design, semantic search, and the ability to bridge research and production while maintaining code quality and system reliability.

The following is a list of essential functions, which is subject to change at any time and without advance notice. Management may assign new duties, reassign existing duties, or eliminate a function based on business needs or at its sole discretion.

• GenAI Feature Development:
  Build production GenAI applications using Lang Chain, Lang Smith, and Agentcore. Implement complex agent workflows with tool use, memory management, and multi-step reasoning. Design and optimize agentic patterns for reliability, latency, and cost.
• RAG & GraphRAG Architecture:
  Design and implement retrieval-augmented generation systems using semantic search and vector databases. Architect knowledge graphs using Neo4j/Neptune for structured reasoning. Optimize retrieval strategies for accuracy, latency, and relevance ranking.
• Data Pipeline & ETL Development:
  Write custom Python ETL scripts for data preparation, indexing, and synchronization. Design schema and data models for graph databases. Collaborate with data team on AWS Glue…