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AI Systems Engineer - Agentic Autonomy

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HavocAI

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Location:
United States , Greater Boston

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Contract Type:
Not provided

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Salary:

140000.00 - 180000.00 USD / Year

Job Description:

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
  • Equity Package
  • Work / Home Office Stipend
  • Global Entry
  • 16 Week Paid Parental Leave
  • Monthly Health and Wellness Stipend

Additional Information:

Job Posted:
January 25, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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