Gen AI Engineer

Design, develop, and deploy scalable Generative AI solutions for business and enterprise use cases. Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs and enterprise data sources. Develop Agentic AI solutions capable of autonomous reasoning, planning, decision-making, and tool usage. Design and implement AI agents and multi-agent workflows for complex business processes. Integrate Large Language Models (LLMs) with structured and unstructured enterprise data. Work closely with Data Engineering, Data Science, and business teams to identify and develop AI use cases. Develop APIs and backend services to support GenAI applications and products. Evaluate, fine-tune, and optimize LLM performance for accuracy, relevance, latency, and scalability. Implement vector search, embeddings, and semantic retrieval solutions. Ensure GenAI applications follow best practices related to security, governance, scalability, and responsible AI. Take ownership of the end-to-end delivery of GenAI projects from solution design through production deployment.

• Design, develop, and deploy scalable Generative AI solutions for business and enterprise use cases.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs and enterprise data sources.
• Develop Agentic AI solutions capable of autonomous reasoning, planning, decision-making, and tool usage.
• Design and implement AI agents and multi-agent workflows for complex business processes.