Senior GenAI Engineer – Enterprise AI Platforms

Fitch Group; Chicago (IL); On-site; USD 88,000 - 120,000; Full time

Benefits offered by this job

Hybrid Work Environment

Learning & Mobility programs

Retirement planning and tuition

Job summary

Fitch Solutions, headquartered in Chicago, is seeking a Software Engineer focused on AI. You will develop production-grade AI/ML systems, build GenAI platforms, and deploy scalable architectures across AWS/Azure in a hybrid work setting.

The role emphasizes integration of GenAI capabilities into enterprise products and collaboration with product managers and engineers. You will work on cutting-edge models, RAG architectures, and MCP implementations while delivering robust APIs and scalable cloud

Qualifications

• 7+ years designing and deploying production-grade AI/ML systems.
• 5+ years in full-stack engineering for enterprise apps.
• Experience with RAG architectures and MCP.
• Hands-on with LangChain/LangGraph in production.
• Knowledge of embeddings and vector databases for AI integration.

Responsibilities

• Lead transformative GenAI system development.
• Pioneer AI innovation through hands-on engineering.
• Build robust production infrastructure (APIs and cloud).
• Demonstrate full-stack engineering excellence across the stack.
• Collaborate with cross-functional teams to translate requirements.
• Deliver scalable, enterprise-grade AI solutions.

Skills

AI/ML systems

Full-stack engineering

Python

GenAI

RAG architectures

LLM integration

Production-grade code

Tools

FastAPI

LangChain

LangGraph

Docker

Kubernetes

AWS

Azure

PyTorch

TensorFlow

MLflow

SageMaker

Job description

Fitch Solutions, headquartered in Chicago, is seeking a Software Engineer focused on AI. You will develop production-grade AI/ML systems, build GenAI platforms, and deploy scalable architectures across AWS/Azure in a hybrid work setting.

The role emphasizes integration of GenAI capabilities into enterprise products and collaboration with product managers and engineers. You will work on cutting-edge models, RAG architectures, and MCP implementations while delivering robust APIs and scalable cloud