$ cat jobs/ai-infrastructure-engineer-agents-ml-systems-havocai-0c9613624b83.json
AI Infrastructure Engineer – Agents & ML Systems
ABOUT US: Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex and contested environments. Havoc connects assets, enabling them to share information, adapt in real time, and continue operating even when communications are disrupted or denied. Havoc optimizes mission performance and minimizes human risk. Havoc was founded in 2024 and headquartered in Providence, Rhode Island. Learn more at Havoc: All-Domain Collaborative Autonomy http://havocai.com/ . ABOUT THE ROLE As an AI Infrastructure Engineer – Agents & ML Systems, you will help build the internal AI infrastructure that allows HavocAI teams to use modern AI systems safely, reliably, and effectively. You will develop tools, services, pipelines, and integrations that connect large language models, agentic workflows, internal data sources, engineering systems, and ML workflows. This role is ideal for a strong software or infrastructure engineer who is excited about the practical application of AI. You need not have worked on every part of the AI stack, but you should be curious, hands-on, and comfortable building production systems that connect models, tools, data, and users. You will work on systems that help internal teams search and reason over company data, automate engineering workflows, support simulation and autonomy development, curate data for future model training, and evaluate AI systems before they are trusted in critical workflows. This is a high-impact role at the intersection of software engineering, AI infrastructure, developer tooling, data systems, and applied ML. JOB RESPONSIBILITIES - Build internal AI infrastructure that connects LLMs and AI agents with internal tools, APIs, data sources, data lakes, telemetry stores, simulation tools, code repositories, documentation systems, logs, and engineering workflows. - Develop and mai
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