GenAI/Python Developer - AI/ML - Newyork, NY - Citi
Photon
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- Pay
- $155K to $217K
- a year
- Location
- New York, NY
- Posted
- Oct 14
- 6 days ago
Career path
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About the company
Photon
Information technology and services · 5,001 to 10,000 employees
What you'll do
- 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.
What you need
- The employer seeks an experienced GenAI/Python Developer with strong expertise in Python, LangGraph, LangChain, LlamaIndex, RAG, vector databases, LLM integration, and multi-agent architectures, plus hands-on experience building scalable AI solutions.
Key skills
PythonLangGraphLangChainLlamaIndexRAGvector databasesLLM integrationmulti-agent architecturesFastAPIasynchronous programmingPyTorchTensorFlowHugging Faceprompt engineeringDocker
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Perks
- Medical
- vision
- dental benefits
- 401k retirement plan
- variable pay/incentives
- paid time off
- paid holidays
See full description on company page, apply now
Read the full posting here
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.