Gaig
AI Platform Engineer
Cincinnati, OH (USA) · Part-time
No sponsorshipDetected 1 day ago
PythonJavaGitVector DatabasesAzureKubernetesTerraformCI/CDDevOpsPlatform EngineeringData ScienceLLMsRAGLLMOpsCybersecurityNetwork SecurityCustomer SupportTest AutomationProperty & Casualty
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odds of building a lasting career here
16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Great American Insurance Group's member companies are subsidiaries of American Financial Group.
- We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed.
- With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
Requirements
- 5+ years of software engineering experience with a strong development background.
- Hands-on experience with AI Foundry (or equivalent enterprise AI platforms) including model deployment, evaluation, and lifecycle management.
- Working knowledge of MCP server implementation and the patterns for exposing tools and data to LLMs safely.
- Familiarity with LLM APIs, prompt engineering, token economics, and the failure modes of production LLM systems.
- 5+ years of software engineering experience with a strong development background. You write production code, not just scripts.
- Practical experience building RAG systems end-to-end: embeddings, vector databases (e.g., pgvector, Pinecone, Weaviate, Azure AI Search), retrieval tuning, and evaluation.
- Strong DevOps practice: Git-based workflows, CI/CD pipelines, containers, Kubernetes, IaC (Terraform or equivalent), and observability tooling.
- Security and governance instincts: you assume every endpoint will be attacked and every model call will be audited.
- Platform engineering mindset: you build self-service capabilities with golden paths, not bespoke solutions for each consumer.
- Prefer familiarity with the P&C Insurance industry
- How You'll Be Measured
- Reliability and performance of the platform services you own.
- Time-to-value for consumers onboarding to RAG, MCP, and LLM gateway capabilities.
- Automation coverage and reduction in manual operational work over time.
Compensation
- Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.
Benefits
- We offer competitive benefits packages for full-time and part-time employees*.
- Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement.
- Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
- Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.
Visa & Work Authorization
- This position is not eligible for employment visa sponsorship.
This listing is sourced directly from Gaig's careers page and normalized into a canonical job model.