GenAI Engineer (LLM)

Information Technology Senior Management Forum; Bloomington (IL); Hybrid; USD 85,000 - 142,000; Full time

Benefits offered by this job

Health insurance

401(k) with company contributions

Educational benefits

Job summary

State Farm in Bloomington, IL seeks a Lead Software Engineer to design, build, and maintain the LARRY FastAPI backend and LLM-powered knowledge systems. You will collaborate with architects, product owners, and SMEs to deliver enterprise-scale knowledge processing across interviews, documents, and mainframe artifacts.

You’ll drive backend architecture, mentor junior engineers, and contribute to secure, scalable CI/CD pipelines while leveraging cloud environments and Entra ID authentication.

Qualifications

• Strong Python or React experience, including FastAPI or similar async web frameworks.
• Experience with LLM integration and RAG architecture patterns.
• Experience designing, developing, and maintaining RESTful APIs.
• Hands-on experience with CI/CD pipelines and containerized deployment.
• Solid understanding of Git and version control workflows.
• Experience with AWS or other cloud environments.

Responsibilities

• Design, develop, and maintain the LARRY FastAPI backend, including REST API endpoints for conversation, ingestion, and knowledge retrieval
• Build and support LLM-powered RAG pipelines that query the kcd-repository knowledge base and surface relevant answers
• Lead backend architecture decisions and mentor junior engineers on the team
• Collaborate with business stakeholders, product owners, and architects to ensure accurate knowledge processing and retrieval
• Implement and maintain CI/CD pipelines via GitLab CI/CD for deployment to ROSA (OpenShift)
• Participate in code reviews, unit testing, and integration testing to maintain high-quality, secure code
• Integrate with Entra ID (Azure AD) for authentication and manage secure API access patterns
• Research and adopt emerging LLM and RAG patterns to improve knowledge quality and retrieval accuracy

Skills

Python

React

FastAPI

LLM integration

RESTful APIs

CI/CD

Git

AWS

Tools

FastAPI

GitLab CI/CD

OpenShift

Azure AD / Entra ID

Knowledge graphs

JSON schema

RAG pipelines

Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

Grow Your Skills, Grow Your Potential

HYBRID: Hybrid Work Arrangement: A "Hybrid" position means selected candidates will be assigned to a facility and will spend some time working both in the office and from home. For Enterprise Technology, a hybrid work arrangement will require approximately 40% in-office time each month, beginning in late 2027.HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ

SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity

Responsibilities

We are looking for a skilled Lead Software Engineer with strong expertise in Python backend development and AI/LLM integration. In this role, you will be responsible for designing, building, and maintaining the LARRY FastAPI backend, including LLM-powered conversation flows, RAG (Retrieval-Augmented Generation) pipelines, and knowledge ingestion APIs. You will collaborate with architects, product owners, and SMEs to shape a platform that processes interviews, documents, and mainframe artifacts into structured, queryable knowledge objects.

This role offers the opportunity to work on impactful greenfield AI work while navigating the unique challenges of enterprise-scale knowledge management. If you are passionate about Python, LLMs, and cloud-native architecture, you will thrive on our team.

• Design, develop, and maintain the LARRY FastAPI backend, including REST API endpoints for conversation, ingestion, and knowledge retrieval
• Build and support LLM-powered RAG pipelines that query the kcd-repository knowledge base and surface relevant answers
• Lead backend architecture decisions and mentor junior engineers on the team
• Collaborate with business stakeholders, product owners, and architects to ensure accurate knowledge processing and retrieval
• Implement and maintain CI/CD pipelines via GitLab CI/CD for deployment to ROSA (OpenShift)
• Participate in code reviews, unit testing, and integration testing to maintain high-quality, secure code
• Integrate with Entra ID (Azure AD) for authentication and manage secure API access patterns
• Research and adopt emerging LLM and RAG patterns to improve knowledge quality and retrieval accuracy

Qualifications

• Strong Python or React experience, including FastAPI or similar async web frameworks
• Experience with LLM integration and RAG architecture patterns
• Experience designing, developing, and maintaining RESTful APIs
• Hands-on experience with CI/CD pipelines and containerized deployment
• Solid understanding of Git and version control workflows
• Experience with AWS or other cloud environments

Preferred Qualifications

• Process and transform mainframe artifacts (JCL, DB2 , COBOL) into structured, schema-compliant knowledge objects
• Experience with vector databases or embedding-based
• Experience with JSON schema design and knowledge graph or structured data patterns
• Integrate with Entra ID (Azure AD) for authentication and manage secure API access patterns

Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

• Potential starting salary range: $85,000 - $142,000 (Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.)
• Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

• Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
• Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
• Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
• Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
• Take a Little "You" Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
• Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
• Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Responsibilities

We are looking for a skilled Lead Software Engineer with strong expertise in Python backend development and AI/LLM integration. In this role, you will be responsible for designing, building, and maintaining the LARRY FastAPI backend, including LLM-powered conversation flows, RAG (Retrieval-Augmented Generation) pipelines, and knowledge ingestion APIs. You will collaborate with architects, product owners, and SMEs to shape a platform that processes interviews, documents, and mainframe artifacts into structured, queryable knowledge objects.

This role offers the opportunity to work on impactful greenfield AI work while navigating the unique challenges of enterprise-scale knowledge management. If you are passionate about Python, LLMs, and cloud-native architecture, you will thrive on our team.

• Design, develop, and maintain the LARRY FastAPI backend, including REST API endpoints for conversation, ingestion, and knowledge retrieval
• Build and support LLM-powered RAG pipelines that query the kcd-repository knowledge base and surface relevant answers
• Lead backend architecture decisions and mentor junior engineers on the team
• Collaborate with business stakeholders, product owners, and architects to ensure accurate knowledge processing and retrieval
• Implement and maintain CI/CD pipelines via GitLab CI/CD for deployment to ROSA (OpenShift)
• Participate in code reviews, unit testing, and integration testing to maintain high-quality, secure code
• Integrate with Entra ID (Azure AD) for authentication and manage secure API access patterns
• Research and adopt emerging LLM and RAG patterns to improve knowledge quality and retrieval accuracy

Qualifications

• Strong Python or React experience, including FastAPI or similar async web frameworks
• Experience with LLM integration and RAG architecture patterns
• Experience designing, developing, and maintaining RESTful APIs
• Hands-on experience with CI/CD pipelines and containerized deployment
• Solid understanding of Git and version control workflows
• Experience with AWS or other cloud environments

Preferred Qualifications

• Process and transform mainframe artifacts (JCL, DB2 , COBOL) into structured, schema-compliant knowledge objects
• Experience with vector databases or embedding-based
• Experience with JSON schema design and knowledge graph or structured data patterns
• Integrate with Entra ID (Azure AD) for authentication and manage secure API access patterns