Technology

Sr. Gen AI Engineer

PhotonNew York, NY🇺🇸United States

Quick overview

SeniorityMid Senior

Work modeHybrid

LocationNew York, NY, United States

DockerFastAPIHugging FaceLLMPyTorchPythonTensorFlowGenerative AIPostgreSQLMachine LearningPrompt EngineeringCI/CDLangChainLangGraphRAG

Job description

We are Photon, one of the world's largest Digital Platform Engineering companies providing a unique combination of Strategy Consulting, Creative Design and Technology Services to a wide range of customers. We are a high growth organization serving over 40% of Fortune 100 companies and truly believe that our people make the world of difference for our clients and our business. With Photon, you get the opportunity to learn and grow, build deep digital/technical expertise, and achieve your professional and personal aspirations.

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We are actively hiring and found your profile very interesting! We’d love the opportunity to connect with you and explore possibilities to build an exciting future together!

Job Title: Sr. Gen AI Engineer

Location: Irving, TX / Jacksonville, FL / New York, NY

Duration: Long Term

Role Summary: We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.

Technical Stack:

LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.
Frameworks: LangChain, LlamaIndex, and Hugging Face.
Orchestration: LangGraph and Multi-Agent Systems (MAS).
Development: Python, FastAPI, and Asynchronous Programming.
RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.
Deployment: Docker, Production API management, and LLM monitoring.
Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.

Key Responsibilities:

Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.
Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.
Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.
Design and deploy high-performance, scalable backend services using FastAPI and Async Python.
Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.
Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.
Containerize and deploy AI services via Docker to production environments.

Required Qualifications:

Hands-on experience building and deploying GenAI applications in a production setting.
Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).
Experience with vector search, embedding models, and advanced data retrieval patterns.
Knowledge of model fine-tuning techniques and local LLM quantization/hosting.
Familiarity with production-grade monitoring, API security, and CI/CD for ML.