State Farm · Bloomington, IL, United States
Skills: React, Python, AWS, CI/CD
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: 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
Grow Your Skills, Grow Your Potential: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 an ……
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