Agentic AI Machine Learning Engineer

Job Number: R0235649
Position: Agentic AI Machine Learning Engineer

As an experienced machine learning engineer, you understand that good software is more than a good user experience. To compete in today’s technical landscape, mission‑oriented machine learning solutions must be architected, designed, and built to handle fast‑moving data, scale with infrastructure based on system usage, and evolve with changing mission requirements. We’re looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges in the Defense and Intelligence sectors.

On our team, you’ll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You’ll ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements, while deepening your skill set in software engineering, machine learning operations (MLOps), and deployment across diverse mission environments.

• 3+ years of experience as a ML engineer building production‑grade ML solutions, including work involving LLMs, agents, or complex automation frameworks.
• 3+ years experience in data science or data research in a professional or academic setting, training or deploying models across multiple modalities.
• 3+ years experience working in cloud environments, including AWS and Azure.
• 2+ years experience deploying and integrating production‑grade ML models using Docker and Kubernetes.
• Experience with Large Language Models (LLMs), Deep Learning (DL), Reinforcement Learning (RL), and AI agent frameworks such as Lang Chain, Lang Graph, Pydantic
  
  AI, or llamaindex.
• Experience connecting agents to APIs, cloud platforms, or databases.
• Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, Lang Smith, or Phoenix.
• Experience evaluating architectural trade‑offs and designing robust, service‑based software applications for scalable use.
• TS/SCI clearance.
• Bachelor’s degree.

• Experience with programming and ML frameworks such as Tensor Flow, PyTorch, llama.cpp, and vLLM.
• Experience with client engagements, client‑facing project work, and business development.
• Experience in deep learning, computer vision, NLP, or signal processing projects.
• Experience deploying and managing data brokering solutions such as Kafka, Red Panda, Confluent, and related services.
• Ability to adapt in a rapidly changing environment.
• Excellent verbal and written communication skills.
• Excellent interpersonal, analytical, problem‑solving, and organizational skills.
• TS/SCI clearance with a polygraph.
• Master’s degree.

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Salary range: $99,000.00 to $ (annualized USD). Benefits include health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, dependent care, and recognition awards.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.