Software Engineering, Full Stack - AI at SAP

Compensation

$135,000 – $145,000/yr

Type: Full-time
Level: lead/mgmt
Posted: Sep 3, 2026

Summary from listing

Fitch Group is hiring a Full Stack-AI Engineer based in Chicago to lead and develop cloud-native, AI-enabled enterprise applications. The role combines full-stack software engineering with generative AI, including LangChain and LangGraph, agent workflows, microservices, data pipelines, testing, CI/CD, and DevSecOps. Candidates need extensive distributed systems and software engineering experience, strong Java and Python backend expertise, modern front-end skills, production AI/ML experience, and knowledge of relational and NoSQL databases. The position offers a base salary of $135,000 to $145,000 per year.

Required Skills

Java
Python
Spring Boot
Fast API
React
TypeScript
LangChain
LangGraph
Microservices
CI/CD
DevSecOps
RAG
Vector stores
Oracle
PostgreSQL
MongoDB
Elasticsearch

Additional Information

Required Previous Experiences: 7+ years designing and developing distributed application architecture of moderate-to-high complexity
7+ years of software engineering experience with strong Java and Python backend development
5+ years designing and developing scalable web applications with React and TypeScript
Experience building and supporting microservices-based architectures in cloud-native environments
Hands-on experience designing and deploying AI/ML solutions in production
Experience building GenAI applications with LangChain, LangGraph, and LLM providers or open-source models
Experience with Oracle or PostgreSQL, and familiarity with MongoDB, DynamoDB, Elasticsearch, or Solr
Expertise in package management, test frameworks, CI/CD, Git, and DevSecOps
Experience working in high-performance Agile teams
Experience mentoring engineers and influencing technical standards across teams
Preferred Qualifications: Experience building AI-enabled features for customer-facing enterprise applications
Exposure to AWS services and networking concepts
Experience with containerization and container orchestration
Familiarity with data engineering and modern data architecture patterns
Experience with observability, monitoring, and production support for distributed systems
Familiarity with JIRA, Confluence, Bitbucket, and Bamboo
Exposure to business intelligence or data visualization tools