Generative AI Engineer

Photon; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Photon is seeking a Sr. GenAI Developer to design, build, and deploy Generative AI solutions on onsite locations in Irving, TX and New York, NY. The role focuses on LLM-based applications, RAG pipelines, and AI agent automation, requiring strong Python/Node.js/SQL skills and 8+ years of experience including GenAI.

The ideal candidate will implement function calling, manage vector databases, and contribute to multi-step reasoning tasks within enterprise environments.

Qualifications

• 8+ years overall experience with at least 1 year in GenAI.
• Design, develop, and deploy Generative AI applications using LLMs (OpenAI, Azure OpenAI, Claude, Llama) and frameworks like LangChain, LlamaIndex, or Semantic Kernel.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines integrating vector databases (Pinecone, pgvector) with data sources.

Responsibilities

• Design, develop and deploy Generative AI applications using LLMs and frameworks.
• Build and optimize RAG pipelines with vector databases.
• Engineer agent skills, implement function/tool calling, and develop AI agents for automation and multi-step reasoning tasks.

Skills

Python

Node.js

SQL

Job description

We are Photon, one of the world's largest Digital Platform Engineering companies providing a combination of Strategy Consulting, Creative Design and Technology Services to a wide range of customers. We work with 40% of the Fortune 100 companies.

For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.

Designation: Sr. GenAI Developer

Location: Irving, TX (Onsite)/ NY

Description:

• 8+ years overall experience and at least one year in GenAI
• Design, develop, and deploy Generative AI applications using LLMs (OpenAI, Azure OpenAI, Claude, Llama) and frameworks like LangChain, LlamaIndex, or Semantic Kernel.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines integrating vector databases (Pinecone, pgvector) with data sources.
• Engineer agent skills, implement function/tool calling, and develop AI agents for automation and multi-step reasoning tasks.

Skills:

• Python / Node.js / SQL