Senior AI Platform Engineer - Durable Agent Workflows

GEICO; Palo Alto (CA); On-site; USD 105,000 - 230,000; Full time

Benefits offered by this job

Competitive pay

Sponsorship potential

Job summary

GEICO is seeking a Senior Software Engineer to help build the enterprise AI Agent Platform. You will design, implement, and own durable backend services powering agent workflows across claims, underwriting, and internal tools.

You will work with senior engineers to own platform components, write design docs, mentor others, and collaborate with data scientists and product teams. This role emphasizes reliability, performance, and security at scale and offers opportunities to impact millions of

Qualifications

• 5+ years of professional software engineering
• Experience owning the design and delivery of services or major features end to end
• Strong proficiency in one or more of Python, Java, Go, or comparable languages
• Strong distributed systems fundamentals, including concurrency, consistency, fault tolerance, data modeling, API design, and scalability
• Experience operating production services with CI/CD, automated testing, and Kubernetes or other container platforms
• Hands-on operational experience supporting production systems, including observability, monitoring and alerting, on-call participation, incident response, and post-mortems
• Experience scaling systems or improving reliability, such as meeting SLOs, performance tuning, capacity planning, or eliminating recurring failure modes
• Background in application, platform, or infrastructure engineering; all are relevant

Responsibilities

• Own the design and delivery of significant platform components and features end to end, from technical design and API definition through implementation, rollout, and iteration
• Write clear design docs, contribute actively to design and code reviews, and make sound tradeoffs within your area of ownership
• Mentor junior and mid‑level engineers, and help raise the engineering bar on the team
• Collaborate with product managers, data scientists, and consuming teams to understand workflow needs and translate them into platform features
• Agent harness: the durable execution engine for agent workflows, with state management, checkpointing, retries, idempotency, and recovery for long‑running, multi‑step, tool‑calling workflows
• Agent harness integrations: services, APIs, and integration contracts (including protocols like MCP) that let many teams connect agents to internal services, data sources, and external systems consistently
• RAG platform: shared ingestion, chunking, embedding, indexing, and retrieval services that ground agents in enterprise documents and data, with access controls, freshness guarantees, and low‑latency retrieval at scale
• Insight engine: pipelines and services that collect data from agent executions and related enterprise systems and turn it into continuously updated domain knowledge and agent context, served to people through dashboards and reports and to agents through retrieval and tool interfaces
• Eval harness: high‑throughput pipelines for running offline and online evaluations, simulating scenarios, capturing execution traces, detecting regressions, and storing large volumes of execution data
• Skills marketplace: a multi‑tenant service where teams publish, version, discover, and reuse agent skills and tools, backed by permissions, security review, and governance
• Reliability, isolation, and cost controls: sandboxing, rate limiting, quotas, SLOs, and capacity planning at enterprise scale
• Work across the stack as needed, from storage and data modeling to services, deployment infrastructure, and the developer‑facing surfaces (SDKs, CLIs, portals) teams use to build on the platform

Skills

Backend engineering

End-to-end ownership

Python/Java/Go

Distributed systems

CI/CD & Kubernetes

Observability

SRE practices

GenAI / AI apps

Tools

Kubernetes

OpenTelemetry

Prometheus

Grafana

Datadog

Job description

GEICO is seeking a Senior Software Engineer to help build the enterprise AI Agent Platform. You will design, implement, and own durable backend services powering agent workflows across claims, underwriting, and internal tools.

You will work with senior engineers to own platform components, write design docs, mentor others, and collaborate with data scientists and product teams. This role emphasizes reliability, performance, and security at scale and offers opportunities to impact millions of