GenAI Engineer: Build Scalable AI Apps & Pipelines

State Farm; Bloomington (IL); Hybrid; USD 81,000 - 142,000; Full time

Benefits offered by this job

Annual raise

Bonus

Health coverage

401(k) plan

Job summary

State Farm is seeking a hybrid AI/GenAI engineer near Bloomington, IL to design and deploy LLM-powered applications, build AI-Integrated APIs, and develop data pipelines. You will work across front- and back-end systems, enabling enterprise-scale AI workflows within a bevy of modern tooling and cloud services.

You will champion responsible AI practices, collaborate with stakeholders, and mentor teammates while delivering user-friendly AI features and dashboards.

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

LLM apps

RAG pipelines

Agentic systems

Cloud architecture

Python

TypeScript

Git

Prompt engineering

AI governance

Documentation

Communication

Tools

AWS Bedrock

AgentCore

REST APIs

FastAPI

MCP

GitHub Copilot

Job description

State Farm is seeking a hybrid AI/GenAI engineer near Bloomington, IL to design and deploy LLM-powered applications, build AI-Integrated APIs, and develop data pipelines. You will work across front- and back-end systems, enabling enterprise-scale AI workflows within a bevy of modern tooling and cloud services.

You will champion responsible AI practices, collaborate with stakeholders, and mentor teammates while delivering user-friendly AI features and dashboards.