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 strong 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 chance 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, metadata filtering
📌 GEN AI Developer (Hyderabad)
🏢 OP
📍 Hyderabad