Staff Machine Learning Engineer, AI Agent Platform

The GEICO AI Agent Platform team is seeking an exceptional Staff ML Engineer to build the next generation enterprise AI Agent OS and SDKs. You will design, implement, and maintain scalable backend systems that enable business, product, and engineering teams to build, test, and deploy their own AI agents & workflows. In 2026, the agentic AI landscape is maturing rapidly — with standardized protocols (MCP, A2A), AI agent skill ecosystems, harness engineering, context engineering, and governance-first design becoming table stakes. You will help GEICO stay at the forefront. The candidate must have excellent communication skills and a proven track record of delivering business value via technical excellence.

Responsibilities

Architect scalable multi-tenant backend systems for AI agent workflows; Build an enterprise AI agent skill ecosystem; Implement production-grade AI agent harnesses; Build and optimize context engineering systems; Develop observability frameworks (OpenTelemetry, distributed tracing) with LLM-specific telemetry; Design layered guardrail architectures; Implement skill-level governance; Act as tech lead for a sub-team; Establish engineering standards for ML infrastructure, harness engineering patterns, skill authoring, and deployment practices; Collaborate cross-functionally with data scientists, engineers, and product teams

Requirements

Bachelor's in CS, Engineering, or related field; 6+ years designing, implementing, and maintaining multi-tenant AI/ML systems in production; 6+ years with cloud platforms (Azure, AWS) and backend systems (Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4j); Deep understanding of Docker, Prometheus, and OpenTelemetry; Deep proficiency in Python, Java, or Go; Proficiency in AI/ML and agentic frameworks (TensorFlow, PyTorch, LangGraph, CrewAI, AutoGen); Demonstrated track record mentoring engineers and leading technical initiatives; Excellent communication across diverse seniority levels and professional backgrounds

Nice to have

Advanced degree highly desirable; Extra credit for effectively leveraging AI coding tools (Cursor, Claude Code, GitHub Copilot); Experience with harness engineering concepts and practices such as tool dispatch, error recovery, session state, permissions, sub-agent coordination, planning & reasoning with feedback loops; Experience designing AI agent skill systems; Hands-on experience with MCP (server development, registries) and A2A (AI agent card discovery, task delegation); Experience with LLM observability (LangSmith, Langfuse, Arize Phoenix) and guardrail systems; Experience with multi-agent orchestration, both open-source (Llama, Qwen, Mistral) and proprietary (GPT, Claude) LLMs; Experience with no-code/low-code AI agent development environments

Benefits

Personalized development programs; mentorship; certification assistance; competitive pay; benefits; flexibility to support your well-being and future; inclusive and collaborative culture rooted in shared success; GEICO will consider sponsoring a new qualified applicant for employment authorization for this position