AI/ML Platform Engineer

About the role

We are seeking a highly motivated AI/ML platform engineer to contribute to solving cutting edge challenges in the field of artificial intelligence and machine learning. You will work at the intersection of software engineering, data science, and machine learning, turning experimental models into scalable, operation-ready solutions.

Responsibilities

• Design and build multi-agent and single-agent systems using modern open-source frameworks (e.g.: LangChain/LangGraph, CrewAI, AutoGen, and their successors).
• Automate and augment work across our enterprise and developer tools.
• Fine-tune LLMs for specific applications using modern techniques (e.g.: LoRA).
• Prepare training data, run training jobs on shared infrastructure, evaluate results against task-specific benchmarks, and hand off to the ML team's serving platform.
• Research and prototype ML algorithms for specific production tasks, measure their performance and limitations rigorously, and produce clear assessments of their robustness and the confidence we can place in them.
• Create effective visualizations and comprehensive documentation to explain complex topics to a variety of audiences.

Qualifications

• Possess a Bachelor’s degree in Math, Computer Science, Electrical Engineering or a related field.
• Have 2+ years of experience in software engineering, machine learning, or relevant fields.
• Have experience building production or production-adjacent LLM-powered or agent-based systems.
• Have strong proficiency in Python, including the scientific/ML stack (PyTorch or similar, NumPy, pandas).
• Have experience with LangChain and/or LangGraph.
• Have the ability to translate mathematical concepts into well-documented and efficient code.
• Have work experience with containerization and running containers using Podman or Docker.
• Be able to effectively communicate ideas and results.
• Be able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret level clearance.