AI Infrastructure Engineer – Agents & ML Systems
AI summary of the role
HavocAI is hiring an AI Infrastructure Engineer to build internal AI infrastructure connecting LLMs, agents, and ML workflows with internal tools and data.
What you’ll do
- Build internal AI infrastructure connecting LLMs and AI agents with internal tools, APIs, data sources, and engineering workflows.
- Develop and maintain agentic AI systems for task automation, data analysis, and engineering support.
- Build tool integration and connector infrastructure for AI agents, including MCP and emerging tool-use standards.
- Create pipelines for retrieval, RAG, context management, document processing, embeddings, and internal knowledge search.
What you’ll bring
- Bachelor's degree in CS, Engineering, ML, Data Science, or related field.
- 3+ years in software engineering, infrastructure, ML infrastructure, or related roles.
- Strong programming in Python, TypeScript, Go, C++, or similar.
- Experience building production systems, APIs, services, or data pipelines.
Technologies
LLM · AI agents · MCP · RAG · LangGraph · LangChain · LlamaIndex · Kubernetes · Docker · Ray · Airflow · Dagster
About HavocAI
Builds collaborative autonomy software and autonomous vessel platforms that let one operator command coordinated maritime fleets for defense, port security, and contested logistics missions.
Series A
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