Agentic AI Machine Learning Engineer

Experteer Overview In this role you will build production-grade AI and ML solutions that address Defense and Intelligence challenges, focusing on scalable, mission-driven systems. You collaborate across teams to deploy AI architectures, expanding capabilities in MLOps and system integration across diverse environments. You will shape data-driven operations, improve accessibility, and deliver robust AI-enabled workflows. This position offers meaningful impact by advancing automated, secure AI in mission-critical settings. Compensation / Benefits * Design, implement, and scale AI/ML systems for mission contexts * Integrate AI/ML solutions into varied environments and ecosystems * Advance MLOps, deployment, and software delivery practices * Evaluate model performance and deploy observation layers for stakeholders * Collaborate with cross-functional teams to align with client needs and architectural tradeoffs * Connect agents to APIs, cloud platforms, or databases Tasks * 3+ years of experience as a ML engineer * Experience with LLMs, agents, or complex automation frameworks * Experience with cloud environments (AWS or Azure) * Experience deploying ML models using Docker and Kubernetes * Knowledge of LLM, DL, RL; familiarity with LangChain, LangGraph, PydanticAI, llamaindex * Experienceconnecting agents to APIs, cloud platforms, or databases * Ability to obtain a Secret clearance * Bachelor’s degree Key requirements * health benefits * life benefits * disability benefits * retirement benefits * paid leave * professional development support

Experteer Overview In this role you will build production-grade AI and ML solutions that address Defense and Intelligence challenges, focusing on scalable, mission-driven systems. You collaborate across teams to deploy AI architectures, expanding capabilities in MLOps and system integration across diverse environments. You will shape data-driven operations, improve accessibility, and deliver robust AI-enabled workflows. This position offers meaningful impact by advancing automated, secure AI in mission-critical settings. Compensation / Benefits * Design, implement, and scale AI/ML systems for mission contexts * Integrate AI/ML solutions into varied environments and ecosystems * Advance MLOps, deployment, and software delivery practices * Evaluate model performance and deploy observation layers for stakeholders * Collaborate with cross-functional teams to align with client needs and architectural tradeoffs * Connect agents to APIs, cloud platforms, or databases Tasks * 3+ years of aaa Design, as a ML engineer * Experience with LLMs, agents, or complex automation frameworks * Experience with cloud environments (AWS or Azure) * Experience deploying ML models using Docker and Kubernetes * Knowledge of LLM, DL, RL; familiarity with LangChain, LangGraph, PydanticAI, llamaindex * Experienceconnecting agents to APIs, cloud platforms, or databases * Ability to obtain a Secret clearance * Bachelor’s degree Key requirements * health benefits * life benefits * disability benefits * retirement benefits * paid leave * professional development support