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

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Onsite

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

Photon

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

Skills

Google Cloud PlatformDockerPythonPyTorchTensorFlowMachine LearningAIAWSFastAPIAzure

12 days ago

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Important information


Contract type:

Temporary

Salary:

$155,000 – $217,000 / year

Location:

United States

Work mode:

Onsite

Published on:

15 October 2026

What they need


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.

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