Gen AI Developer - Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$125,760–$188,640 / yr
Posted
63 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $192k
This role $157k
$113k most similar roles pay here $246k

This role pays less than 65% of similar roles. Most pay $151,500–$232,937 — the shaded band above. At the midpoint, this role pays about $157k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 391 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 361 roles with salary data.

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At a glance

TL;DR · Gen AI Developer - Vice President

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The Gen AI Developer is a senior-level position within the Technology team, focusing on developing and integrating advanced AI systems. This role involves building and orchestrating AI agents using frameworks like LangChain and AutoGen, while also developing robust backend systems with Python and TypeScript to integrate large language models (LLMs) into microservices architectures. Key responsibilities include managing vector databases for agent memory, designing prompt strategies, overseeing MLOps processes, ensuring compliance with ethical standards, and optimizing API access for AI agents. The ideal candidate has extensive experience in Python, PyTorch, TensorFlow, Hugging Face libraries, and fine-tuning techniques such as LoRA and QLoRA, along with a solid background in software engineering practices like Git, CI/CD, and Docker. This role addresses the growing need for scalable and secure AI solutions in cloud environments, focusing on enhancing LLM accuracy and efficiency through innovative data management and prompt engineering strategies.

Skills

Python PyTorch TensorFlow Hugging Face LangChain LlamaIndex Pinecone Milvus Weaviate LoRA QLoRA AWS GCP Azure Git CI/CD Docker OpenAI Anthropic

What you'll do

  • Build and orchestrate AI agents using frameworks like LangChain for self-healing workflows.
  • Develop robust backend systems integrating LLMs into microservices architectures with Python and TypeScript.
  • Utilize vector databases to architect RAG pipelines enhancing LLM accuracy and contextual understanding.
  • Design and optimize prompt strategies including automated evaluation frameworks for high-quality LLM output.
  • Manage LLM information ecosystems, system prompts, and conversation history for context engineering.

What we're looking for

  • 8+ years of experience in Python and AI development, with a focus on generative AI.
  • Expertise in building and orchestrating AI agents using frameworks like LangChain and AutoGen.
  • Proficient in developing robust backend systems for LLM integration into microservices architectures.
  • Experience in designing prompt strategies and managing vector databases for agent memory.
  • Skilled in overseeing the end-to-end lifecycle of generative models, focusing on cloud deployment.
  • Strong understanding of AI ethics, compliance, and security standards.

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