OP is looking for exceptional engineers who are excited about the rapidly evolving Generative AI ecosystem and want to build production-grade AI solutions that solve real enterprise problems. This is a hands-on engineering role focused on LLMs, RAG architecture, agentic AI, LangGraph, AWS GenAI services, Python, FastAPI, and vector databases. The ideal candidate will have a solid track record of taking Generative AI solutions from architecture and prototyping through production deployment, optimization, scalability, and support.

At OP, we are also investing in and building next-generation AI capabilities and in-house technology products that leverage Large Language Models, RAG, AI agents, and cloud-native architectures. This role provides an opportunity to work directly on an in-house AI product, helping shape its architecture, capabilities, scalability, and evolution from the ground up.

Key Responsibilities:
- Design, develop, and productionize LLM and Generative AI applications for an in-house AI product.
- Design and own scalable RAG architectures, including document ingestion,



processing, chunking, embeddings, indexing, retrieval, reranking, context construction, and LLM generation.
- Build advanced agentic AI workflows using LangGraph, including state management, tool calling, workflow orchestration, multi-step reasoning, and human-in-the-loop capabilities.
- Develop high-performance backend services and APIs using Python and FastAPI.
- Build and integrate vector database and semantic search solutions for enterprise knowledge retrieval.
- Leverage AWS and Amazon Bedrock to build, deploy, scale, and operate production-grade GenAI applications.
- Evaluate and integrate different LLMs/foundation models based on quality, latency, cost, context requirements, and business use cases.
- Develop advanced prompt engineering, structured outputs, function/tool calling, and LLM evaluation capabilities.
- Improve RAG performance using hybrid search, query transformation,

📌 GEN AI Developer (Hyderabad)
🏢 orangepeople
📍 Hyderabad