Agentic AI Machine Learning Engineer

Agentic AI Machine Learning EngineerThe Opportunity: As an experienced machine learning engineer, you understand goodsoftware 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

. 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 facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement completeAI 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 likesoftware engineering, machine learning operations(MLOps), andsoftware deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors withsoftware systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have: • 3+ years of experience as an ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks • 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data • 3+ years of experience working 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 tools and AI agent frameworks, such as LangChain, LangGraph, PydanticAI, or llamaindex • Experience in connecting Agents to APIs, Cloud platforms, or databases • Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix • Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use • TS/SCI clearance • Bachelor's degree Nice If You Have: • Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM • Experience with client engagements, client-facing project work, and business development • Experience with project work in deep learning, computer vision, NLP, or signal processing • Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services • Ability to adapt in a rapidly changing environment • Possession of excellent verbal and written communication skills • Possession of 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