Senior AI/ML Engineer
@ Agile DefenseSenior AI/ML Engineer
About the job
Agile Defense supports national missions by integrating advanced tech to deliver innovative AI solutions. The Senior AI/ML Engineer role focuses on designing, integrating, and benchmarking models for mission impact, requiring experience, clearance, and collaboration with data scientists and mission teams.
Requirements
- 8+ years experience in AI/ML
- Proficient in Python
- Experience with LLM/agents
- Knowledge of RAG & vector DBs
- Active TS/SCI clearance
Qualifications
- Bachelor's in CS or related
- Clearance w/Poly
- Experience supporting missions
- Strong problem-solving skills
- Knowledge of AI framework
Full job description
Job Description
Ready for a challenge that puts you at the center of AI innovation for cyber operations? Are you an experienced AI/ML engineer who thrives in a fast-paced environment, enjoys turning research and prototypes into real mission capability, and wants to help shape how AI is built and delivered across a national mission?
Our team is standing up an AI Enterprise capability — the central hub that mission teams turn to when they want to move an AI solution from prototype to a secure, governed, enterprise-scale service. As a Senior AI/ML Engineer on this team, you will design and integrate the models, agents, and AI workflows that run on that platform, with significant, visible impact on the mission.
What You'll Be Doing:
Basic Qualifications
- Bachelor’s degree from an accredited college or university in Computer Science, Data Science, or a related discipline and 8+ years of experience
- Advanced proficiency in Python for AI/ML application development
- Demonstrated experience building or integrating LLM/agent-based systems in production
- Experience with retrieval-augmented generation (RAG), vector databases, and prompt/context engineering
- Ability to manage competing priorities in fast-paced mission environments and identify/escalate operational risks early
- Active TS/SCI clearance w/Poly
Preferred Skills
- Experience supporting mission environments
- Experience with frameworks such as LangGraph, Agno, or the NVIDIA NeMo Agent Toolkit
- Experience with model inference/serving platforms (NVIDIA NIM, vLLM, Ollama, LiteLLM)
- Experience with MCP (Model Context Protocol) or similar tool-broker/integration standards
- Experience with AI evaluation frameworks, model benchmarking, and observability (logs/metrics/traces) for AI workloads
- Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
- Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
- Honest - Be Trustworthy.Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
- Humble - Be Grounded.Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
- Hungry - Be Eager.Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
- Hustle - Be Driven.Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.