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Havoc AI

AI Infrastructure Engineer – Agents & ML Systems

Remote (Remote)$175k–$200kfulltimemidAdded today

About this role

Havoc is seeking an AI Infrastructure Engineer to build internal systems that connect large language models, AI agents, and agentic workflows with company data, tools, and engineering systems. You'll develop production infrastructure for task automation, data analysis, and ML pipelines while ensuring security and reliability across the AI stack.

What you'll do

  • Build internal AI infrastructure connecting LLMs and agents to APIs, data sources, simulation tools, and engineering workflows
  • Develop and maintain agentic AI systems for task automation, data analysis, and internal productivity
  • Create tool integration infrastructure for AI agents including MCP standards, connectors, and secure tool-use patterns
  • Build RAG pipelines, retrieval systems, document processing, embeddings, and internal knowledge search
  • Support ML workflows including data preparation, experiment tracking, model evaluation, and fine-tuning
  • Develop evaluation frameworks and observability tools for agents, models, and ML pipelines with monitoring and debugging capabilities

What they're looking for

  • Python, TypeScript, Go, or C++
  • Production software systems and APIs
  • LLM applications and AI agents
  • RAG pipelines and vector search
  • Data pipelines and MLOps
  • AI security (prompt injection mitigation, least-privilege access, secrets management)
  • Observability, logging, and tracing
  • System integration across APIs and data sources
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Havoc AI

Havoc AI builds autonomous systems software and hardware for mission-critical operations across military and commercial applications in sea, air, and land domains. The company is hiring frontend engineers, embedded software engineers, mission software engineers, mechanical engineers, and business analytics engineers to develop real-time control systems, operational interfaces, and autonomous capabilities for uncrewed vehicles.

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Likely interview questions

  • Describe your experience building production infrastructure that integrates multiple external systems like APIs, databases, and data stores
  • How have you implemented security controls in systems handling sensitive data, particularly around access control and secrets management?
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