Lead GenAI Engineer — Enterprise AI & Production

Fitch

Chicago, Northern (IL, KY)

Hybrid

USD 120,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Hybrid work environment
Learning and mobility programs
Tuition reimbursement

Job summary

Fitch Solutions seeks a Senior Gen AI Software Engineer in Chicago to drive production-grade AI platforms and agentic workflows. You will build scalable APIs (FastAPI), deploy cloud infrastructure on AWS/Azure, and collaborate across product and engineering teams to deliver enterprise-grade GenAI solutions.

You will lead design, evaluation of foundation models, and integration with existing product ecosystems while advancing cutting-edge AI capabilities in a hybrid work setting.

Qualifications

  • 7+ years designing, developing and deploying production AI/ML systems.
  • 5+ years in full-stack software engineering for enterprise apps.
  • Experience with GenAI, RAG, MCP, vector DBs and LLM integration.
  • Hands-on GenAI applications using LangChain/LangGraph.

Responsibilities

  • Lead the creation of enterprise GenAI solutions across multiple business units.
  • Design and implement GenAI/ML architectures and proofs-of-concept.
  • Build production APIs (FastAPI) and cloud infrastructure (AWS/Azure).
  • Ensure scalable, reliable, enterprise-grade software and integration.
  • Collaborate with product, engineers and stakeholders to align with needs.

Skills

Python
GenAI/ML
Full stack
LangChain
LangGraph
FastAPI
Docker/Kubernetes
AWS/Azure
Communication

Tools

OpenAI
LLM integration

Job description

Fitch Solutions seeks a Senior Gen AI Software Engineer in Chicago to drive production-grade AI platforms and agentic workflows. You will build scalable APIs (FastAPI), deploy cloud infrastructure on AWS/Azure, and collaborate across product and engineering teams to deliver enterprise-grade GenAI solutions.

You will lead design, evaluation of foundation models, and integration with existing product ecosystems while advancing cutting-edge AI capabilities in a hybrid work setting.

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