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GenAI/Python Developer - AI/ML - Newyork, NY - Citi

Photon · United States

  • IT Services & Consulting
  • 10,001+ employees
  • Austin, Texas

Weak hiring record · median 267 days open

9292

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

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  • 87% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board

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GenAI/Python Developer - AI/ML - Newyork, NY - Citi at Photon. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Job Description: GenAI/Python Developer – AI/ML

Role Overview

We are looking for an experienced GenAI/Python Developer to design, build, and deploy production-grade Generative AI applications and intelligent agent-based solutions. The ideal candidate will have strong expertise in Python, LangGraph, LangChain, LlamaIndex, RAG, vector databases, LLM integration, and multi-agent architectures.

The role requires hands-on experience building scalable AI solutions, integrating commercial and open-source LLMs, fine-tuning models, and optimizing GenAI applications for performance, latency, cost, reliability, and production scalability.

Key Responsibilities

  • Design, develop, and orchestrate sophisticated Generative AI workflows using LangGraph, LangChain, and multi-agent architectures.
  • Build and maintain advanced Retrieval-Augmented Generation (RAG) solutions using LlamaIndex and vector databases.
  • Design retrieval pipelines focused on improving the accuracy and relevance of LLM-generated responses.
  • Integrate and evaluate multiple commercial and open-source LLMs, including OpenAI, Anthropic, Llama, and Mistral, based on application, performance, and cost requirements.
  • Develop scalable and high-performance backend services and APIs using Python, FastAPI, and asynchronous programming.
  • Fine-tune and customize LLMs for domain-specific use cases using PyTorch, TensorFlow, Hugging Face, LoRA, and QLoRA.
  • Apply advanced prompt engineering techniques to improve LLM response quality and application performance.
  • Optimize GenAI workflows for latency, cost, scalability, and reliability.
  • Implement monitoring and observability for LLM applications using tools such as LangSmith and Langfuse.
  • Containerize AI applications and services using Docker and support production deployments through CI/CD pipelines.
  • Deploy and maintain GenAI solutions across cloud environments such as AWS, Azure, or GCP.
  • Collaborate with engineering, AI/ML, architecture, and product teams to convert business requirements into scalable AI solutions.
  • Troubleshoot and optimize production AI applications, APIs, retrieval pipelines, and model integrations.

Compensation, Benefits and Duration

Minimum Compensation

155,000 USD

Maximum Compensation

217,000 USD

Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.

Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.

This position is not available for independent contractors

No applications will be considered if received more than 120 days after the date of this post.

Skills

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