Data Engineer, AI Systems Engineer

Hudson Advisors • Dallas, TX

1d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 251-500 employees