AI/ML Engineer
Salary not listed • Austin • Full-time
Posted 11d ago
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Job Location
Austin
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
NODA AI is seeking an AI/ML Engineer to design and implement intelligent agents for adaptive mission planning and orchestration across multi-domain unmanned systems. This role involves working with LLM orchestration frameworks, agent reasoning systems, and deploying AI models to edge computing environments on autonomous vehicles. You will build systems that translate high-level mission intent into actionable autonomous behaviors, dynamically adapt plans to changing environments, and provide explainable reasoning to human operators. The work integrates directly with a ROS autonomy stack and ensures reliable AI performance on resource-constrained edge hardware.
Responsibilities
- Design and implement LLM orchestration frameworks for mission planning and task decomposition across heterogeneous vehicle fleets.
- Develop agent reasoning systems to translate high-level mission objectives into executable autonomy commands.
- Optimize and quantize large language models and agent frameworks for deployment on edge computing hardware.
- Manage the full lifecycle of AI agents, including model versioning, prompt engineering, tool integration, and memory management.
- Implement human-in-the-loop workflows for transparent, explainable AI reasoning.
- Integrate AI reasoning outputs with autonomy middleware (e.g., ROS 2) for seamless mission execution.
- Build evaluation, monitoring, and logging systems to track agent performance, reliability, and cost.
- Develop safe deployment and rollback practices for AI agents in mission-critical scenarios.
- Collaborate with autonomy engineers to ensure AI-generated plans are executable and safe.
- Validate agent behaviors through simulation-in-loop testing before field deployment.
- Design AI systems that maintain effectiveness in denied, degraded, and contested communication environments.
Requirements
- 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).
- 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.
- Experience with constraint solving, planning algorithms, or symbolic reasoning approaches.
- U.S. citizenship required due to ITAR regulations, with the ability to obtain and maintain a DoD security clearance.