Overview Agentic AI Machine Learning Engineer. The Opportunity: As an experienced machine learning engineer, you understand good software is more than just 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, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We’re looking for an engineer to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing 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. Additionally, you’ll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Responsibilities and expectations include transforming data accessibility and operationalizing AI/ML systems to support defense and intelligence missions, designing and implementing robust AI systems, and collaborating to ensure solutions align with the broader environment and future needs. Responsibilities Design, create, and implement complete AI systems that transform client operations and optimize AI/ML systems. Ensure solutions account for the broader ecosystem, operating environment, and future functionality. Deepen skills in software engineering, MLOps, and deployment/integration across mission environments. Qualifications 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks 3+ years of experience in data science or data research in a professional or academic environment, with training or deploying models across multiple modalities 3+ years of experience in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience connecting agents to APIs, cloud platforms, or databases Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Experience with MLOps, GitOps, and CI/CD tooling TS/SCI clearance Bachelor’s degree Nice If You Have Experience with programming and ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with projects in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions (Kafka, Red Panda, Confluent, etc.) 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 Clearance 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. Compensation Salary range: $99,000.00/yr - $225,000.00/yr (annualized USD). The projection range and total compensation reflect various factors including location, education, experience, and contract-specific requirements. This posting will close within 90 days from the posting date. Work Model Our people-first culture prioritizes flexibility and collaboration, whether in person or remotely. Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable law.

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