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Artificial Intelligence, Deep Tech, Optical Computing, Photonics

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

New York, NYOnsiteFull Time$155,000–$217,000 /yrPosted 23 days ago

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Required skills

  • GenAI
  • Generative AI
  • Python
  • AI/ML
  • LangGraph
  • LangChain
  • LlamaIndex
  • RAG
  • vector databases
  • LLM integration

Nice to have

  • production scalability
  • performance
  • latency
  • cost optimization
  • reliability
  • fine-tuning models

Role summary

We are seeking an experienced GenAI/Python Developer to design, build, and deploy production-grade Generative AI applications and intelligent agent-based solutions. The role requires strong expertise in Python, LangGraph, LangChain, LlamaIndex, RAG, vector databases, LLM integration, and multi-agent architectures. Responsibilities include developing scalable AI solutions, integrating LLMs, fine-tuning models, optimizing GenAI applications for performance, latency, cost, reliability, and production scalability, and deploying solutions across cloud environments.

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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