GenAI Engineer — LLM Apps & Data Pipelines (Hybrid)

State Farm; Richardson (TX); Hybrid; USD 81,000 - 142,000; Full time

Benefits offered by this job

Salary range 81,000 - 142,000 USD

Annual incentive up to 15% of base

Job summary

State Farm is seeking an AI/GenAI Engineer for a hybrid role based near Richardson, TX. You will architect and deploy LLM-powered solutions, build AI-enabled APIs, and engineer robust data pipelines that feed AI systems across the enterprise.

You will also implement secure DevSecOps, craft user-friendly AI interfaces, and contribute to governance and documented best practices while mentoring teammates in responsible AI development.

Qualifications

• Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems.
• Strong foundation in software engineering: design, development, testing, and deployment of enterprise-grade applications.
• Experience with cloud architecture (AWS preferred), Git version control, and performance optimization.
• Experience with multi-agent orchestration patterns and tool-use frameworks (function calling, MCP).
• Proficiency in Python and/or TypeScript for API and AI integration development.
• Familiarity with prompt engineering, model evaluation, and AI safety/guardrails.
• Experience writing clear technical documentation, test cases, and evaluation frameworks.
• Proficiency with AI-assisted development tools (GitHub Copilot) to accelerate delivery.
• Strong communication skills with the ability to explain AI concepts to non-technical stakeholders.
• Demonstrate initiative in learning emerging AI technologies and contributing to team knowledge.

Responsibilities

• Design & Deploy AI/GenAI Solutions - Architect and implement LLM-powered applications, agentic workflows, & RAG pipelines using AWS Bedrock and AgentCore
• Build AI-Integrated APIs - Develop and maintain robust APIs (REST, FastAPI, etc.) serving as the backbone for AI applications, orchestration, and downstream consumers
• Engineer Data & Analytics Pipelines - Build pipelines that feed AI/ML systems with clean, governed, and well-structured data from enterprise sources
• Build on Amazon Bedrock AgentCore primitives - Runtime, Gateway (MCP), Memory, and Code Interpreter - to deliver streaming, stateful, tool-using agents in production.
• Champion Responsible AI - Apply prompt engineering best practices, implement guardrails, evaluate model outputs (Promptfoo, RAGAS), and ensure compliance with enterprise AI governance standards
• Drive Full Stack AI Applications - Build and maintain cloud-native web applications that surface AI capabilities to end users, including chat interfaces, dashboards, and automation tools
• Implement DevSecOps for AI - Integrate AI workloads into CI/CD pipelines, apply secure coding standards, and implement observability for model behavior and inference performance
• Enhance User Experience - Design intuitive AI-powered interfaces that are accessible, explainable, and trusted by end users
• Document & Share Knowledge - Author technical documentation, evaluation frameworks, and contribute to internal AI communities of practice
• Mentor & Lead - Provide technical guidance, code reviews, and foster a culture of responsible AI innovation

Skills

Python

TypeScript

AWS Bedrock

AgentCore

REST APIs

Git/GitHub

Prompt engineering

Multi-agent orchestration

Data pipelines

Tools

FastAPI

REST APIs

GitHub Copilot

Job description

State Farm is seeking an AI/GenAI Engineer for a hybrid role based near Richardson, TX. You will architect and deploy LLM-powered solutions, build AI-enabled APIs, and engineer robust data pipelines that feed AI systems across the enterprise.

You will also implement secure DevSecOps, craft user-friendly AI interfaces, and contribute to governance and documented best practices while mentoring teammates in responsible AI development.