Senior GenAI Engineer – Contract - Remote. Experience: 4–10 Years Location: Remote – India Engagement: Contract Duration: 6 months, with possibility of extension About the Role We are hiring for a global client a GenAI / AI Engineer to join with strong hands-on experience building and deploying production-grade Generative AI applications for enterprise environments. Key Skills Strong Python development experience Hands-on experience with LLMs and Generative AI Strong experience with RAG and Prompt Engineering Experience building Agentic AI solutions Hands-on experience with LangChain / LangGraph Experience with Vector Databases and enterprise knowledge retrieval Experience with OpenAI / Azure OpenAI / AWS Bedrock or equivalent LLM platforms Experience deploying AI applications on AWS or Azure Strong knowledge of REST APIs, Git, and CI/CD Experience with MLOps / LLMOps, evaluation, monitoring, and observability Responsibilities Design, develop, and deploy production-grade Generative AI applications. Build RAG pipelines using LLMs, vector databases,



and enterprise data sources. Develop Agentic AI workflows using LangChain, LangGraph, or similar frameworks. Integrate LLMs with APIs, databases, enterprise applications, and external tools. Develop scalable Python services and APIs for AI applications. Implement prompt engineering, model evaluation, and response-quality optimisation. Deploy, monitor, and troubleshoot AI applications in cloud environments. Contribute to MLOps/LLMOps, CI/CD, observability, and production support. Collaborate with engineering, product, data, and business teams. Required Stack: Python | LLMs | Generative AI | RAG | Prompt Engineering | Agentic AI | LangChain/LangGraph | Vector Databases | AWS/Azure | REST APIs Apply if you have robust hands-on experience building and deploying production-grade GenAI applications. We review candidate profiles regularly. Shortlisted candidates will be contacted for the next steps.

📌 Senior AI/GenAI Engineer (India)
🏢 TechNET IT Recruitment
📍 India