Role & responsibilities

Architect, design, and deliver scalable GenAI and ML solutions across the full project lifecycle, from concept and
experimentation to production deployment and optimization.
• Design and build enterprise-grade conversational AI platforms, including RAG-based systems and agentic
workflows, leveraging Azure OpenAI, Azure AI Foundry, and Azure AI services.
• Apply advanced prompt engineering, embeddings, vector search, fine-tuning strategies, and tool/function calling
to optimize LLM-driven solutions.
• Design and implement AI/ML models with feedback loops, automated re-training, and fine-tuning pipelines to
continuously improve accuracy and relevance.
• Implement retrieval-augmented generation (RAG) techniques to ensure AI outputs are accurate, contextual, and
grounded in approved data sources.

Stay at the forefront of LLM and agentic AI advancements, incorporating up-to-date techniques such as few-shot
learning, structured outputs, Model Context Protocol (MCP), and AI orchestration frameworks (e.g., Agent
SDKs).

📌 AI Engineer (Hyderabad)
🏢 Wintech Services
📍 Hyderabad