招聘

(Artificial Intelligence-AI) EXPERIENCED Software Engineer-Python, AWS: HYBRID
Bloomington, Illinois; Richardson, Texas; Dunwoody, Georgia; Tempe, Arizona
·
On-site
·
Full-time
·
3w ago
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!
HYBRID: Qualified candidates must live in or nearby a hub location (listed below) and should plan to spend time working from home and some time working in the office as part of our hybrid work environment**.HUB LOCATIONS:** Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL
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.
Application deadline is expected to close on Tuesday 3/3/2026 at 12noon CT. Applicant volume and hiring needs may result in early closure or extension beyond the listed deadline. To submit an application, click "Apply" on the job listing page on the State Farm career site.
Grow Your Skills, Grow Your Potential
Responsibilities
State Farm is investing in generative AI to make customer experiences smarter, faster, and more trusted. This is an AWESOME Opportunity to work on a team where new AI capabilities move from idea to pilot to production, with strong engineering practices behind everything we ship. If you like building modern cloud services, working with the latest LLM and agent technologies, and solving real problems with real users, you will find a lot to get excited about here.
We are hiring Experienced AI Software Engineers to build production GenAI solutions that modernize digital insurance at enterprise scale. You will design and implement LLM-powered services, integrate models into APIs and workflows, and help build agent-to-agent and Model Context Protocol (MCP) integrations. You will partner closely with product and data science to deliver secure, reliable capabilities that drive customer acquisition, strengthen loyalty, and expand State Farm’s ecosystem through strategic integrations. This role may be assigned to one of the following Technology teams: Digital or Billing & Payments.
Some Responsibilities May Include:
- Design, build, manage and implement GenAI solutions
- Design, build, and manage Agent-to-Agent and MCP (Model Context Protocol) servers
- Integrate LLMs into production systems via APIs, pipelines, and workflows
- Partner with data scientists, product managers, and cross-functional teams
- Contribute to strategic AI initiatives and roadmap development
- Design and build reliable REST APIs
Qualifications
We Are Seeking Candidates With:
- Experience designing, building, testing, and deploying enterprise-grade applications
- Expertise in Python. Other languages: Java, JavaScript/TypeScript, or Go
- Experience with Frontend: React + Next.js, modern JavaScript/TypeScript, responsive UI design
- Experience with AWS, lambda, ECS/Fargate, EC2, S3, DynamoDB, Amazon Open Search (vector search)
- Experience with GenAI platforms, OpenAI, Anthropic, gemini, AWS (e.g., Bedrock/Strands)
- Experience AWS Bedrock and Agent Core experience (preferred)
- Strong engineering fundamentals: clean code, design patterns, and unit/integration testing
- Quality and automation mindset: CI/CD, code reviews, debugging, TDD/BDD, and security/compliance automation
- Familiarity with AI security risks (prompt injection, data leakage)
- Working knowledge of RAG, vector databases, and LLM application patterns
Additional
- Experience in software engineering (backend/platform/full-stack); AI/LLM integration experience is a plus
- Proven experience delivering production services on AWS (fintech/payments experience is a strong plus)
- Preferred: Bachelor’s/Master’s degree in Computer Science/Software Engineering (or equivalent practical experience)
- Certifications: AWS CCP, AWS Solutions Architect, and/or AWS ML Specialty are nice-to-have
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: $90,000 - $165,000 High end of the range limited to applicants with significant relevant experience
- Starting salary will be based on skills, background, and 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!
State Farm is investing in generative AI to make customer experiences smarter, faster, and more trusted. This is an AWESOME Opportunity to work on a team where new AI capabilities move from idea to pilot to production, with strong engineering practices behind everything we ship. If you like building modern cloud services, working with the latest LLM and agent technologies, and solving real problems with real users, you will find a lot to get excited about here.
We are hiring Experienced AI Software Engineers to build production GenAI solutions that modernize digital insurance at enterprise scale. You will design and implement LLM-powered services, integrate models into APIs and workflows, and help build agent-to-agent and Model Context Protocol (MCP) integrations. You will partner closely with product and data science to deliver secure, reliable capabilities that drive customer acquisition, strengthen loyalty, and expand State Farm’s ecosystem through strategic integrations. This role may be assigned to one of the following Technology teams: Digital or Billing & Payments.
Some Responsibilities May Include:
- Design, build, manage and implement GenAI solutions
- Design, build, and manage Agent-to-Agent and MCP (Model Context Protocol) servers
- Integrate LLMs into production systems via APIs, pipelines, and workflows
- Partner with data scientists, product managers, and cross-functional teams
- Contribute to strategic AI initiatives and roadmap development
- Design and build reliable REST APIs
We Are Seeking Candidates With:
- Experience designing, building, testing, and deploying enterprise-grade applications
- Expertise in Python. Other languages: Java, JavaScript/TypeScript, or Go
- Experience with Frontend: React + Next.js, modern JavaScript/TypeScript, responsive UI design
- Experience with AWS, lambda, ECS/Fargate, EC2, S3, DynamoDB, Amazon Open Search (vector search)
- Experience with GenAI platforms, OpenAI, Anthropic, gemini, AWS (e.g., Bedrock/Strands)
- Experience AWS Bedrock and Agent Core experience (preferred)
- Strong engineering fundamentals: clean code, design patterns, and unit/integration testing
- Quality and automation mindset: CI/CD, code reviews, debugging, TDD/BDD, and security/compliance automation
- Familiarity with AI security risks (prompt injection, data leakage)
- Working knowledge of RAG, vector databases, and LLM application patterns
Additional
- Experience in software engineering (backend/platform/full-stack); AI/LLM integration experience is a plus
- Proven experience delivering production services on AWS (fintech/payments experience is a strong plus)
- Preferred: Bachelor’s/Master’s degree in Computer Science/Software Engineering (or equivalent practical experience)
- Certifications: AWS CCP, AWS Solutions Architect, and/or AWS ML Specialty are nice-to-have
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About State Farm

State Farm
PublicAn insurance company that offers insurance and financial services
10,001+
Employees
Bloomington
Headquarters
Reviews
3.2
5 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.8
Career
2.5
Management
2.7
35%
Recommend to a Friend
Pros
Problem-solving opportunities and task variety
Client interaction and relationship building
Management and sales experience opportunities
Cons
Pressure to sell and upsell products
Employee burnout and feeling undervalued
Limited career growth and advancement clarity
Salary Ranges
4,740 data points
Junior/L3
Junior/L3 · Analyst - Digital Analytics
1 reports
$124,540
total / year
Base
$95,800
Stock
-
Bonus
-
$124,540
$124,540
Interview Experience
4 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
50%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Virtual Interview
5
Face-to-Face Interview
6
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Customer Service Scenarios
Culture Fit
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