Gen AI/ML Engineer

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
• Strong 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