Backed by Bessemer.
About the role
We are seeking an AI/ML Engineer to design and implement intelligent agents that drive adaptive mission planning and orchestration across multi-domain unmanned systems. This role focuses on LLM orchestration frameworks, agent reasoning systems, and the deployment of AI models to edge computing environments on autonomous vehicles.
What they're looking for
- 3+ years of experience in production AI/ML applications with emphasis on LLM deployment and orchestration
- Proficiency in Python and modern AI/ML frameworks (PyTorch, Transformers, LangChain, or equivalent orchestration tools)
- Experience with model optimization, quantization, and deployment to edge computing environments
- Understanding of distributed systems and real-time AI inference requirements
- Familiarity with MLOps practices, including model versioning, monitoring, and lifecycle management
- Knowledge of prompt engineering, agent framework design, and multi-step reasoning systems
More about this role
Clearance Requirement: U.S. Citizen with the ability to obtain a security clearance
NODA is a veteran-owned, venture-backed technology company that is transforming how unmanned systems collaborate in complex, mission-critical environments. We are developing next-generation solutions that enable the autonomous orchestration of heterogeneous unmanned systems across air, sea, land, and space with vital applications in the defense, intelligence, and commercial sectors.
Our AI/ML Engineers are at the cutting edge of autonomous intelligence, designing and implementing AI agents that seamlessly bridge mission intent with real-world execution through advanced reasoning frameworks and multi-domain orchestration capabilities.
Joining NODA means working on meaningful technology that pushes the boundaries of autonomy alongside a team that thrives on innovation, rapid iteration, and collaboration.
We are seeking an AI/ML Engineer to design and implement intelligent agents that drive adaptive mission planning and orchestration across multi-domain unmanned systems. This role focuses on LLM orchestration frameworks, agent reasoning systems, and the deployment of AI models to edge computing...
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