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We are seeking an AI Systems Engineer with deep expertise in large language models (LLMs), agentic AI architectures, and integrating advanced AI models into production-grade robotic or mission systems. You will lead the design and deployment of AI-powered components that enhance human–machine teaming, mission planning, situational understanding, and autonomy decision-making. This role sits at the intersection of ML engineering, systems engineering, autonomy, and product design. You will define how LLMs and multi-agent AI systems interface with autonomy stacks, sensor pipelines, simulation tools, and operations software across multiple product lines.
Job Responsibility:
Lead the design and development of LLM-powered software modules for mission reasoning, planning, operator interaction, and autonomous decision support
Integrate LLMs and agentic systems into HavocAI’s autonomy architecture, including ROS/ROS2 systems, planning engines, and mission software
Build multi-agent, tool-using AI systems that interact with perception data, mission databases, simulation systems, and operator inputs
Develop APIs, wrappers, and orchestration layers enabling LLMs to interface safely with embedded, cloud, and edge compute environments
Optimize LLM inference pipelines for performance, latency, and reliability in field-deployed systems
Evaluate model behavior, perform safety testing, and develop guardrails for mission-critical use cases
Collaborate with autonomy, embedded, simulation, and full-stack teams to define requirements and ensure robust system-level integration
Guide strategic decisions on model selection, fine-tuning approaches, safety frameworks, and long-term AI architecture
Contribute to field testing, operator evaluations, and iterative deployment cycles for AI-augmented autonomy systems
Requirements:
Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Robotics, or a related field
Deep hands-on experience building with LLMs and multi-agent/agentic AI frameworks
Strong software engineering background in modern ML frameworks, cloud orchestration, and API development
Experience integrating AI systems into larger software architectures or robotics/autonomy workflows
Understanding of RAG pipelines, tool-use frameworks, LLM function-calling, memory systems, and agent orchestration
Experience with safety evaluation, model alignment, or mission-critical AI system validation
Ability to lead system-level design discussions and coordinate across multiple engineering disciplines
Must be a U.S. Citizen and eligible to obtain a Secret Clearance
Nice to have:
Experience with autonomy stacks (ROS/ROS2, PX4, mission planning engines)
Background in simulation, decision-theoretic planning, or multi-agent coordination
Experience training or fine-tuning LLMs, building embeddings pipelines, or deploying models on-premise
Knowledge of defense, maritime, or dual-use tech environments
Familiarity with distributed compute systems, GPU optimization, or edge inferencing
Prior experience shaping AI product strategy or leading ML/AI engineering teams
What we offer:
100% Employer paid Health, Dental and Vision Insurance for you and your families
Life Insurance (Employer Paid)
Ability to participate in the companies 401k program (Matching)
Unlimited PTO policy with an enforced 2 week minimum