Role Summary:
We are looking for a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will work on designing multi-agent systems, advanced RAG pipelines, and deploying both frontier and local LLMs.

Key Responsibilities:

- Develop and orchestrate AI workflows using LangGraph and multi-agent architectures
- Build advanced RAG systems with LlamaIndex and vector databases
- Integrate multiple LLMs (OpenAI, Claude, Llama, etc.) based on use case
- Design scalable backend services using FastAPI and async Python
- Fine-tune LLMs using PyTorch/TensorFlow
- Optimize performance (latency, cost, reliability)
- Deploy AI services using Docker in production environments

Tech Stack:

- LLMs: Gemini, OpenAI, Claude, Llama




- Frameworks: LangChain, LlamaIndex, Hugging Face
- Backend: Python, FastAPI, Async Programming
- Data: PostgreSQL, Vector DBs
- ML: PyTorch, TensorFlow
- Tools: Prompt Engineering, GenAI Optimization, Monitoring

What We’re Looking For:

- Hands-on experience with production-grade GenAI applications
- Solid Python and AI framework knowledge
- Experience with RAG, embeddings, and vector search
- Understanding of LLM fine-tuning and local deployment
- Exposure to CI/CD, monitoring, and API security

📌 Gen AI/ML Engineer (Hyderabad)
🏢 Photon
📍 Hyderabad