(Artificial Intelligence-AI) EXPERIENCED Software Engineer-Python, AWS: HYBRID
US-AZ-Tempe
Careers (External)
Req #: 43183
Type: Regular Full Time
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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. 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 in software engineering (backend/platform/full-stack); AI/LLM integration experience * Experience with AWS Bedrock and AgentCore * Working knowledge of RAG, vector databases, and LLM application patterns * Experience with AWS services, including Lambda, ECS/Fargate, EC2, S3, DynamoDB, and Amazon OpenSearch (vector search) * Familiarity with AI security risks, such as prompt injection and data leakage * Experience designing, building, testing, and deploying enterprise-grade applications * Experience in Python. Other languages: Java, JavaScript/TypeScript, or Go * Experience with Frontend: React + Next.js, modern JavaScript/TypeScript, responsive UI design Additional * Proven experience delivering production services on AWS (fintech/payments experience is a strong plus) * Preferred: Bachelor's/Master's degree in Computer Science or Software Engineering (or equivalent practical experience)
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