Data Engineer, AI Systems Engineer

Position Summary:

We are a leading correspondent aggregator of U.S. Non-Agency residential mortgage loans. We

specialize in purchasing Non-QM and Non-Agency mortgages and are committed to leveraging

cutting edge technology to streamline our operations. We are seeking a highly skilled Data / AI

Systems Engineer to join our dynamic and fast-paced team. This role sits at the intersection of

data engineering, applied AI, and workflow automation, focused on building intelligent systems

that enhance decision-making and operational efficiency.

The ideal candidate will not only design and maintain scalable data infrastructure but also

develop and deploy AI-driven solutions, including agentic workflows, retrieval-augmented

generation (RAG) pipelines, and automation tools built on top of existing large language models

(LLMs). This role is critical in transforming how we leverage data and AI to streamline business

processes across the organization.

Required Knowledge, Skills and Abilities:

• Master's degree in computer science, Engineering, Data Science, or a related field
• Strong experience in data engineering, including building and maintaining scalable ETL
• pipelines and data models (SQL, Python, Azure Data Factory or similar)
• Advanced proficiency in SQL and data modeling, including performance tuning and
• working with large, complex datasets
• Hands-on experience building applications with large language models (LLMs) (e.g.,
• OpenAI, Anthropic, or similar APIs)
• Experience designing and implementing RAG (Retrieval-Augmented Generation) pipelines,
• including embeddings and vector databases (e.g., Pinecone, FAISS, Azure AI Search)
• Experience developing agentic AI workflows capable of multi-step reasoning, tool usage,
• and task automation
• Strong programming skills in Python, including experience building APIs, services, or
• backend systems
• Familiarity with cloud platforms, preferably Azure (or AWS/GCP equivalent)
• Experience with Git and modern software development practices
• Strong problem-solving, analytical, and communication skills
• Ability to work in a fast-paced environment and manage multiple concurrent projects
• Excellent communication skills with the ability to translate business needs into technical
• solutions.
• Detail-oriented with a focus on quality and performance.

Education:

• Master's degree in computer science, Engineering, Data Science, or a related field

Experience:

• 1-3 years of relevant work experience
• Experience in fixed income, structured finance, or residential mortgage markets
• Experience working with unstructured data pipelines, including document parsing, OCR, and knowledge extraction
• Familiarity with data pipeline orchestration tools (e.g., Airflow) and distributed data processing (e.g., Spark)

Work Environment:

• This job operates in a professional office environment
• This position's hours vary depending on business activity

Travel Requirements:

• This position does not require frequent travel, less than 10%. Travel would be domestic

Desired Organizational Competencies:

• Accountability - Demonstrates a commitment to and responsibility for accomplishing individual, team and business objectives
• Drive - Consistently achieves challenging goals/objectives, and demonstrates an ability to create value and maximize results
• Planning- Identifies business needs, problems and risks proactively, and develops well-founded plans that specify strategies, actions/solutions, risk mitigants and desired results
• Critical Thinking / Judgment - Commits to an action after developing alternative solutions that are based on logical assumptions and factual information and that take into consideration resource risks and organizational values
• Adaptability - Exhibits the capacity to successfully change and evolve one's actions, opinions and behavior as a result of changing priorities or environment
• Communication Skills - Proactively communicates in the appropriate medium with clarity and focus at the right level to ensure delivery has the appropriate impact
• Influential Leadership - Leads with confidence and conviction, and is able to establish credibility, trust, and respect among team members
• Team Work - Fosters collaboration among team members and business partners, and uses capabilities to achieve team goals