Sr. AI/Machine Learning Engineer

Sr. AI/Machine Learning Engineer

Department IT and Programming

Employment Type Full-Time, Remote *(Memphis, TN candidates preferred for in-office collaboration)*

Minimum Experience Experienced

Role Summary

This is a builder’s role, not a research role. You will write the Python that puts AI models to work on real production problems: reading messy documents and email, resolving entities across systems, enriching records, scoring likelihood, and surfacing signals that were previously invisible.

We are looking for an engineer with good working knowledge of transformer architecture and practical experience with foundation models on both sides of the market: open-source models you can host and run, and commercial models you consume through an API. You do not need to have trained one from scratch. You do need to be comfortable calling them, prompting them well, handling their output, and building reliable services around them.

The role also spans traditional machine learning. We have a large and interesting data set, and part of the job is finding the modeling opportunities hiding inside it that translate into better recovery outcomes: classification, matching, scoring, and prediction. You will also help with synthetic data approaches where real data is limited or contractually restricted. This is a remote position; candidates in or near Memphis, TN are preferred.

Core Responsibilities

• Write clean, production-quality Python that integrates foundation models into automated pipelines and services, similar to our existing document intake, routing, entity resolution, and data enrichment workflows.
• Work with both open-source and commercial foundation models, including prompt design, tool calling, structured output, error and retry handling, and evaluating which model fits a given workload on accuracy, latency, and cost.
• Uncover and shape modeling opportunities in our data that lead to stronger recovery ou