SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Havoc AI is building software-defined autonomous systems for military and commercial applications across sea, air, and land domains. As an AI Infrastructure Engineer, you will develop the internal AI infrastructure enabling teams to safely and reliably deploy modern AI systems at scale.
You will own the design and implementation of systems connecting large language models, agentic workflows, internal data sources, engineering systems, and ML pipelines. Key responsibilities include: building infrastructure that integrates LLMs and AI agents with internal tools, APIs, data sources, telemetry stores, simulation tools, and code repositories; developing agentic systems for task automation, data analysis, and engineering support; creating tool integration infrastructure for AI agents using standards like MCP; building RAG pipelines and context management systems; supporting ML infrastructure workflows including data preparation, experiment tracking, and model evaluation; developing evaluation frameworks for agent performance and model quality; implementing observability and debugging tools for AI systems; partnering across Autonomy, Software, Data, Simulation, and Product teams to identify high-value AI use cases; securing agentic systems end-to-end with least-privilege access, sandboxed execution, and prompt-injection mitigation; and maintaining documentation and best practices for safe AI adoption.
You should be a strong software or infrastructure engineer excited about practical AI applications. While you need not have worked on every part of the AI stack, you must be curious, hands-on, and comfortable building production systems. The role sits at the intersection of software engineering, AI infrastructure, developer tooling, data systems, and applied ML, making it high-impact and technically diverse.
