AI/ML Engineer

Location: Austin, TX; hybrid on-site with up to 20% travel. U.S. citizenship and the ability to obtain and maintain a DoD security clearance are required.

Company

hirify.global is a veteran-owned, venture-backed technology company developing autonomous orchestration solutions for heterogeneous unmanned systems across air, sea, land, and space for defense, intelligence, and commercial applications.

What you will do

• Design and implement LLM orchestration frameworks for mission planning, task decomposition, and heterogeneous vehicle fleets.
• Develop agent reasoning systems that translate mission objectives into executable autonomy commands and provide explainable reasoning to operators.
• Optimize, quantize, and deploy language models and agent frameworks to edge hardware such as Jetson and companion computers.
• Manage AI-agent lifecycle activities, including model versioning, prompt engineering, tool integration, memory management, monitoring, logging, deployment, and rollback.
• Integrate AI reasoning with ROS 2 and collaborate with autonomy engineers to ensure generated plans are executable and safe.
• Validate agent behavior through simulation-in-loop testing and design systems for reliable operation in denied, degraded, and contested communications environments.

Requirements

• 3+ years of experience in production AI/ML applications, with an emphasis on LLM deployment and orchestration.
• Proficiency in Python and modern AI/ML frameworks such as 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, multi-step reasoning systems, and constraint solving, planning algorithms, or symbolic reasoning.
• U.S. citizenship is required due to ITAR regulations, along with the ability to obtain and maintain a DoD security clearance.
• Systems-thinking ability, adaptability to evolving AI/ML frameworks, safety focus, collaborative working style, and attention to AI validation, testing, and performance optimization.

Nice to have

• Experience with multi-agent coordination frameworks and distributed AI reasoning systems.
• Background in robotics or autonomous-systems integration, including ROS 2, navigation stacks, and sensor fusion.
• Familiarity with reinforcement learning for planning and decision-making, secure coding, and adversarial robustness in AI systems.
• Experience deploying AI models to embedded hardware such as Jetson or Raspberry Pi.
• Exposure to simulation-in-loop and hardware-in-loop testing environments.
• Knowledge of autonomous vehicle domains such as UAVs, USVs, and UUVs and their associated protocols.
• Background in structured data preparation and feature engineering for AI ingestion.
• Contributions to open-source AI or robotics projects.
• Experience contributing to mission assurance and safety cases, including field-readiness reviews.
• Experience collaborating with security and compliance teams on logging, auditability, and data-handling requirements for fielded AI systems.

Culture & Benefits

• Collaborative, respectful, and trust-based environment focused on innovation and rapid iteration.
• Premium medical, dental, and vision coverage with zero paycheck premiums for employees and families.
• 401(k) plan with company match, equity grants, FSA, DCFSA, and HSA.
• Unlimited PTO, 11 paid holidays, an extended holiday calendar, generous parental leave, and military leave.
• Professional development opportunities, mental-health resources, legal and financial support, and access to One Medical.

Hiring process

• Final leveling is determined at the offer stage based on interview-demonstrated scope, prior impact, and calibration to the career ladder.
• Possible levels range from AI/ML Engineer through Senior AI/ML Engineer, Staff AI/ML Engineer, and Principal Engineer.