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Senior AI Software Engineer

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full-time

Posted on:

Location Type: Hybrid

Location: ChicagoIllinoisUnited States

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Job Level

About the role

  • Architecting and building AI-powered systems that leverage foundational models
  • Balanced hands-on development of backend services and APIs with designing scalable AI integration patterns
  • Building experimentation frameworks and ensuring seamless deployment across our technology stack
  • Collaborating with product managers to translate business needs into technical implementations
  • Guiding teams on adopting the latest AI capabilities and driving rapid test-and-learn cycles
  • Championing best practices for responsible AI implementation to ensure solutions are scalable, reliable, and maintainable.

Requirements

  • 5+ years of backend software engineering with strong Python skills; experience with Java is a plus
  • Proven track record designing and developing scalable APIs and distributed services (FastAPI, PostgreSQL, Redis)
  • Deep understanding of cloud infrastructure (AWS Services, Bedrock), container orchestration (Kubernetes, Docker), and CI/CD pipelines
  • Hands-on experience integrating AI/ML services and managing AI API dependencies (OpenAI, Claude, LangChain, vector databases)
  • Practical knowledge of AI orchestration frameworks and data pipeline tooling (Redshift, Temporal)
  • Test-and-learn mindset with strong rapid prototyping abilities
  • Excellent communication skills for both technical and business stakeholders
  • Experience with responsible AI principles, data privacy, and system reliability.
Benefits
  • Most positions are hybrid (3 days onsite) in our FIS Office locations in Chicago (Illinois), Milwaukee (Wisconsin), Atlanta (Georgia) and Jacksonville (Florida).
  • Current and future sponsorship not available for this position
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavaAPI developmentFastAPIPostgreSQLRedisAWS ServicesKubernetesDockerAI/ML integration
Soft Skills
communicationcollaborationrapid prototypingtest-and-learn mindset