(AI and Full Stack Experienced) Software Engineer/Lead Software Engineer
Role Overview
Join State Farm's Innovation Group to solve customer and enterprise problems using emerging technologies and modern engineering practices.
The team experiments, validates business value, and helps move promising solutions toward implementation.
Areas of focus include AI, agentic AI and automation, predictive analytics, computer vision, contextual insights, data-driven solutions, and platform engineering.
Key Skills for This Role
Full Job Posting
Role overview
Join State Farm's Innovation Group to solve customer and enterprise problems using emerging technologies and modern engineering practices.
The team experiments, validates business value, and helps move promising solutions toward implementation.
Areas of focus include AI, agentic AI and automation, predictive analytics, computer vision, contextual insights, data-driven solutions, and platform engineering.
Responsibilities
- Design, develop, test, deploy, and maintain scalable applications using TypeScript, Angular, Go, and other technologies.
- Apply generative AI, agentic AI, and large language models to build intelligent business and customer capabilities.
- Collaborate across data engineering, data science, product, and business teams to integrate data-driven insights.
- Build and optimize data pipelines, services, and supporting solutions for AI and machine learning workflows.
- Prototype emerging technologies and evaluate technical approaches and business value.
- Use automated testing, CI/CD, observability, security, and scalable cloud development practices.
- Contribute to architecture, technical design, code reviews, documentation, and deployment planning.
- Share knowledge about emerging technologies and help transition validated solutions into production.
Desired experience and qualifications
- Strong experience with Python, Terraform, APIs, JSON, and modern software development practices.
- Experience developing and deploying AWS applications, including Lambda, EC2, SQS, S3, CloudFront, API Gateway, SNS, and SageMaker.
- Experience with cloud architecture and development; production integration, deployment, and support experience is preferred.
- Experience applying DevSecOps practices to software development and deployment.
- Applied experience with generative AI, agent-based AI, or large language model integration and deployment; familiarity with machine learning concepts and workflows.
- Experience building data-based solutions, working with datasets and pipelines, engineering robust data solutions, and designing scalable data architectures.
- Proficiency in TypeScript and Angular for frontend development.
- React and Go experience are pluses; Azure experience is a plus but not required.
Work arrangement
- Hybrid position with time spent both at an assigned facility and working from home.
- Listed hybrid work locations are Bloomington, Illinois; Dunwoody, Georgia; Richardson, Texas; and Tempe, Arizona.
- Work arrangements may change over time based on business needs.
Compensation
- Potential starting salary range is $78,081.25 to $159,100. Starting salary depends on skills, background, and experience; the high end is limited to applicants with significant relevant experience.
- Potential yearly incentive pay is up to 18% of base salary.
- Compensation is based on a standard 38-hour-and-45-minute work week.
Benefits
- Benefits include healthcare, vision, dental, telemedicine, mental health resources, training, tuition assistance, mentoring, paid time off, leave programs, retirement savings, and community-giving programs.
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