Senior Staff Generative AI Engineer — Production Lead

Citigroup Inc.; Mississauga; On-site; CAD 171,000 - 241,000; Full time

Job summary

Citigroup Inc. is seeking a Staff Generative AI Engineer to design, build, and deploy production-grade AI applications and agents. You will lead hands-on development of LLM-powered solutions, ensure production readiness, and mentor junior engineers in a fast-paced, cross-functional environment.

The role focuses on OpenShift deployments, robust testing, and advancing the technical roadmap for Generative AI adoption while exploring bleeding-edge models and responsible AI guardrails.

Qualifications

• Bachelor’s degree/University degree or equivalent experience
• 6+ years of professional software engineering experience, delivering scalable enterprise-grade solutions in production environments.
• Expert-level proficiency in Python and its AI/ML ecosystem. Full-stack experience is a plus.
• Hands-on Generative AI, LLMs, transformer architectures, and advanced agentic frameworks.

Responsibilities

• Architect and build production AI systems and LLM-powered solutions.
• Design intelligent agents to automate complex workflows in enterprise processes.
• Deploy applications in OpenShift environments with container orchestration.
• Drive technical direction and ensure production readiness across product portfolio.
• Uphold software engineering best practices: testing, reviews, CI/CD, and documentation.

Skills

Python

Generative AI

LLMs

OpenShift

Agentic frameworks

PostgreSQL

pgvector

Production systems

Code quality

Education

Bachelor's degree

Tools

LangChain

LangGraph

Google ADK

AutoGen

CrewAI

LlamaIndex

Semantic Kernel

Job description

Citigroup Inc. is seeking a Staff Generative AI Engineer to design, build, and deploy production-grade AI applications and agents. You will lead hands-on development of LLM-powered solutions, ensure production readiness, and mentor junior engineers in a fast-paced, cross-functional environment.

The role focuses on OpenShift deployments, robust testing, and advancing the technical roadmap for Generative AI adoption while exploring bleeding-edge models and responsible AI guardrails.