Description
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 up-to-date 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.

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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.

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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

📌 Sr Data Engineers (India)
🏢 Photon Group
📍 India