Agentic AI Engineer

NODA AI-posted 4 months ago
Full-time • Mid Level
Austin, TX
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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 Agentic AI 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.

  • Integrate LLM orchestration frameworks (e.g., LangChain, ReAct-style planners) into NODA’s orchestration stack.
  • Collaborate with autonomy teams to develop a reasoning framework for task decomposition, task scheduling, and task allocation.
  • Implement human-in-the-loop workflows for operator trust and explainability of AI-generated plans.
  • Manage the full lifecycle of AI agents (models, prompts, tools, memory) with safe deployment and rollback practices.
  • Work with data engineers to pipeline sensor and mission data into structured AI-ingestible formats.
  • Validate agentic behaviors through simulation-in-loop testing prior to live deployment.
  • Build and maintain evaluation, monitoring, and logging systems to track agent performance, cost, and reliability.
  • Integrate external tools/APIs into agent workflows with strong version control and dependency management.
  • Design testing and release pipelines (CI/CD, canary/blue-green deploys, feature flags) to ensure safe iteration in production.
  • Contribute to secure and resilient agent execution in denied, degraded, and contested comms environments.
  • Prototype and validate agent behaviors in both simulation-in-loop and hardware-in-loop environments to ensure readiness for field deployment.
  • 3+ years of experience in AI/ML applications (LLM orchestration, autonomous decision-making, or planning systems).
  • Proficiency in Python and frameworks such as LangChain or equivalent.
  • Familiarity with constraint solving, planning algorithms, or symbolic reasoning.
  • Familiarity with distributed systems and real-time orchestration.
  • Excellent problem-solving skills and ability to collaborate across disciplines.
  • U.S. Citizenship with ability to obtain a clearance.
  • Experience with multi-agent coordination frameworks or reinforcement learning for planning.
  • Understanding of secure coding and adversarial robustness in AI-driven systems.
  • Exposure to autonomous vehicles (UAVs, USVs, UUVs).
  • Familiarity with simulation-in-loop or hardware-in-loop testing.
  • Hands-on experience with robotics/autonomy frameworks (ROS2, Gazebo, navigation stacks).
  • Experience with deploying AI/ML logic to edge devices (Jetson, Raspberry Pi, or similar low-SWaP hardware).
  • Background in data engineering or structured data prep for AI ingestion.
  • Contributions to open-source AI or robotics projects.
  • Hybrid work environment
  • Competitive pay
  • Flexible time off
  • Generous PTO policy
  • Federal holidays
  • Generous health, dental, and vision benefits
  • Free OneMedical membership
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