Senior Generative AI Engineer - Production-Ready AI Lead

Citi

Irving (TX)

On-site

USD 126,000 - 189,000

Full time

13 days ago
Application generator

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Benefits offered by this job

Health insurance
401(k)
Paid time off

Job summary

Citi in Irving, Texas is seeking a Senior Generative AI/AI Engineer to design, build, and deploy scalable AI solutions. You will lead AI projects end-to-end, prototype Generative/Agentic AI applications, and collaborate with senior engineers and product managers to translate business needs into robust technical solutions.

The role emphasizes production-ready code, data pipeline management, and MLOps practices, with opportunities to explore latest AI trends and drive strategic AI initiatives

Qualifications

  • 6+ years of relevant experience
  • Proficient in Python with AI libraries
  • Hands-on with Generative AI and LLMs
  • Experience with data preprocessing and feature engineering
  • Familiarity with MLOps and containerization
  • Experience deploying on OpenShift or Kubernetes

Responsibilities

  • Lead large-scale AI initiatives and drive results
  • Prototype Generative/Agentic AI applications
  • Train and fine-tune ML/DL models
  • Build scalable AI/ML production systems
  • Manage data pipelines for training/inference
  • Deploy AI apps with MLOps practices
  • Research latest AI trends and lead PoC projects
  • Collaborate with engineers, architects, and product managers

Skills

Python
ML/DL
Generative AI
Data preprocessing
MLOps
Docker
Kubernetes
OpenShift
Transformers
LangChain
LLMs
PostgreSQL
Pinecone
Chroma
pgvector
OpenAI models

Education

Bachelor's in Engineering

Tools

PostgreSQL pgvector
Pinecone
Chroma
OpenShift
Kubernetes

Job description

Citi in Irving, Texas is seeking a Senior Generative AI/AI Engineer to design, build, and deploy scalable AI solutions. You will lead AI projects end-to-end, prototype Generative/Agentic AI applications, and collaborate with senior engineers and product managers to translate business needs into robust technical solutions.

The role emphasizes production-ready code, data pipeline management, and MLOps practices, with opportunities to explore latest AI trends and drive strategic AI initiatives

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