Agentic AI Machine Learning Engineer

Agentic AI Machine Learning Engineer
Willingness to work onsite 1-3 days/week in Washington, DC, Alexandria, VA, Annapolis Junction, MD, Arlington, VA, McLean, VA. 
Direct Hire
At least Secret clearance is required to start 

Responsibilities:
•    Design, create, and implement complete AI systems that transform client operations and enhance data accessibility
•    Build mission-oriented machine learning solutions capable of handling fast-moving data, scaling with infrastructure, and expanding based on evolving requirements
•    Ensure solutions consider the broader ecosystem, operating environment, and future enhancements
•    Deepen skills in software engineering, MLOps, and deployment of AI and ML models into various mission environments
•    Evaluate LLM performance and build observation layers for stakeholders using tools such as Grafana, Langfuse, LangSmith, or Phoenix
•    Connect AI agents to APIs, cloud platforms, or databases and evaluate architectural tradeoffs for scalable service-based applications
•    Work effectively within cloud environments like AWS and Azure

Requirements:
•    3+ years of experience as an ML engineer building production-grade ML solutions, including work involving LLMs, agents, or automation frameworks
•    3+ years of experience in data science or data research, including model training and deployment across multiple data modalities
•    3+ years working in cloud environments such as AWS and Azure
•    2+ years deploying and integrating ML models using Docker, Kubernetes, and related tools
•    Experience with Large Language Models, Deep Learning, Reinforcement Learning, and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
•    Experience connecting agents to APIs, cloud platforms, or databases
•    Ability to evaluate architectural tradeoffs and design scalable, robust service-based applications
•    Bachelor’s degree required; Secret clearance eligibility required

Nice to Have:
•    Experience with ML frameworks like TensorFlow, PyTorch, llama.cpp, or vLLM
•    Client engagement and project management experience
•    Background in deep learning, computer vision, NLP, or signal processing
•    Experience deploying data brokering solutions such as Kafka, Red Panda, Confluent
•    Excellent verbal and written communication, interpersonal, analytical, and organizational skills

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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