AI/ML Platform Engineer – Build Scalable AI Systems

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 85,000 - 195,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) in Laurel, MD is seeking an AI/ML platform engineer to translate experimental models into scalable, production-ready solutions.

You will design multi-agent systems, fine-tune LLMs, and work across software, data science, and ML to deliver reliable AI capabilities within enterprise tools. Applicants should have a strong Python background and be eligible for U.S. security clearances.

Qualifications

• Bachelor's degree in math, CS, EE or related field.
• 2+ years of software engineering or ML experience.
• Experience building production or production-adjacent LLM-powered/agent-based systems.
• Proficiency in Python and ML stack (PyTorch, NumPy, pandas).
• Experience with LangChain and/or LangGraph.
• Experience with containerization (Docker or Podman).
• Ability to translate concepts into clean, well-documented code.
• Eligible for Interim Secret clearance by start date and ultimately Secret level clearance (US citizenship).

Responsibilities

• Work at the intersection of software engineering, data science, and machine learning to turn experimental models into scalable, operation-ready solutions.
• Design and build multi-agent and single-agent systems using open-source frameworks (LangChain/LangGraph, CrewAI, AutoGen and successors).
• Fine-tune LLMs for specific applications using techniques like LoRA; prepare data, run training jobs, evaluate results, and hand off to serving platform.
• Research and prototype ML algorithms for production tasks, measure performance and limitations, and assess robustness and confidence.
• Interact with diverse data types and perform data cleaning, normalization, or manipulation as needed.
• Create visualizations and documentation to explain complex topics to varied audiences.

Skills

Strong communication

Team collaboration

Education

Bachelor's degree in Math, CS, EE or related field

Tools

Python

PyTorch

LangChain

LangGraph

Docker

Podman

NumPy

pandas

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) in Laurel, MD is seeking an AI/ML platform engineer to translate experimental models into scalable, production-ready solutions.

You will design multi-agent systems, fine-tune LLMs, and work across software, data science, and ML to deliver reliable AI capabilities within enterprise tools. Applicants should have a strong Python background and be eligible for U.S. security clearances.