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Python Kubernetes Software Engineer Data Jobs in Chicago, IL

Senior AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Implement scalable architectures supporting AI workflows, automation, and data processing pipelines ... Python skills; experience with Java is a plus * Proven track record designing and developing ...

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Python & ETL, Chicago, IL A proprietary trading firm is seeking a Data Engineer ... This position will work closely with fellow software engineers and DBAs to make impactful ...

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Experience with Kubernetes, serverless technologies, and cloud-native architectures * Familiarity ...

Senior Software Engineer, Finance (Clojure)

Chicago, IL · On-site

$126K - $166K/yr

... Kubernetes and modernizing our deployment practices • Modernizing observability and monitoring ... We have a large Clojure codebase and a growing Python footprint across data pipelines. Experience ...

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Python (Django, FastAPI, Flask), microservices development, RESTful API design, Kubernetes, and ... internal equity, market data, the candidate's qualifications- including but not limited to ...

Data Engineer

Chicago, IL

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... especially python-based * Hands-on experience with Kubernetes and Docker * Experience with ...

We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging ... JavaScript, Java, TypeScript, SQL, Python, or Go * 3+ years of experience with AWS, GCP, Microsoft ...

... data integrity, regression, performance testing. - Excellence in problem solving and analysis ... Northbrook IL Jobs, Software Engineer, Java, C++, PHP, Python, MySQL, SQL, Linux, SDLC, Software ...

We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging ... JavaScript, Java, TypeScript, SQL, Python, or Go * 3+ years of experience with AWS, GCP, Microsoft ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

They are seeking a dedicated and experienced Data Engineer to architect and develop their Big Data ... python-based • Hands-on experience with Kubernetes and Docker • Experience with monitoring ...

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Senior AI Software Engineer

FIS Amount

Chicago, IL • On-site

$126K - $166K/yr

Other

Re-posted 17 days ago


Job description

A DAY IN THE LIFE:

As an AI Software Engineer, you'll spend your days architecting and building AI-powered systems that leverage foundational models like OpenAI, Claude, and Llama to solve real business problems. You'll balance 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.

You'll work closely with product managers to translate business needs into technical implementations, collaborate with data scientists on model integration, and guide teams on adopting the latest AI capabilities. You'll drive rapid test-and-learn cycles, prototyping solutions that unlock significant business opportunities. You'll also champion best practices for responsible AI implementation, ensuring our solutions are scalable, reliable, and maintainable.

This role is perfect for an expert generalist who thrives in fast-paced environments and wants to be at the forefront of AI innovation, turning cutting-edge technology into practical business solutions.

Team: Embedded within the AI Pathfinder team, collaborating across a cross-functional group of ~8-10 engineers, data scientists, and product managers within the Technology zone

Similar job titles: AI Platform Engineer, AI Engineer

WHAT WE'LL TRUST YOU TO DELIVER:

AI Solution Development

  • Design and build backend services and APIs that deploy AI-powered features using foundational models
  • Implement scalable architectures supporting AI workflows, automation, and data processing pipelines
  • Create end-to-end solutions that translate high-level business problems into functional AI implementations
  • Build experimentation frameworks enabling rapid iteration and deployment of AI functionalities

System Integration & Architecture

  • Integrate AI services into complex technology stacks, ensuring seamless interoperability
  • Connect AI capabilities with microservices, AWS platform components, and Redshift data systems
  • Manage complex dependencies across multi-stack environments
  • Ensure system reliability, scalability, and maintainability

Innovation & Experimentation

  • Drive test-and-learn cycles with rapid prototyping of AI-driven solutions
  • Evaluate and adopt new AI frameworks, tools, and capabilities
  • Build proof-of-concept solutions for the company's most exciting problems
  • Stay current with the evolving AI ecosystem to guide technical decisions

Cross-Team Collaboration

  • Partner with product managers to understand and translate business requirements
  • Work with data scientists on model integration and optimization
  • Coordinate with frontend engineers on API design and feature delivery
  • Document system designs, APIs, and workflows for knowledge sharing


WHAT YOU LIKELY BRING TO THE TABLE: 

  • 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