Senior AI Software Engineer

FIS•Chicago, IL

21h•Hybrid

About The Position

We are FIS, a company whose technology powers the world's economy and brings innovation to life. We are seeking an AI Software Engineer to join our premiere digital transformation partner team for financial institutions. This role will focus on architecting and building AI-powered systems using foundational models like OpenAI, Claude, and Llama to solve real business problems. You will 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 will collaborate closely with product managers, data scientists, and frontend engineers, driving rapid test-and-learn cycles in our innovation lab and championing best practices for responsible AI implementation. This role is ideal for an expert generalist who thrives in fast-paced environments and wants to be at the forefront of AI innovation.

Requirements

Bachelor's or Master's in Computer Science, Engineering, or related technical field
5+ years of backend software engineering with strong Python skills
Proven track record designing and developing scalable APIs and distributed services
Deep understanding of cloud infrastructure, container orchestration, and CI/CD pipelines
Hands-on experience integrating AI/ML services and managing AI API dependencies
Practical knowledge of major foundational model providers and AI orchestration frameworks
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

Nice To Haves

Ruby or Go experience is a plus
Python
AWS Bedrock
Langchain
OpenAI API
Claude
Vector Databases
Redshift
AWS Services
Kubernetes
Docker
FastAPI
Redis
PostgreSQL
Temporal
Git
CI/CD pipelines

Responsibilities

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
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
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
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