AI Engineer/Architect - LLM/RAG

AI Engineer / AI Architect (Senior) HyderabadShift : 5 : 30 PM - 2 : 30 AM IST

Experience : 8 to 20 Years

Location : Hyderabad (Work from Office-Hybrid)

Job Summary :

We are seeking an experienced AI Engineer / AI Architect to lead the design, development, and deployment of enterprise-grade AI solutions. The ideal candidate will have hands-on experience delivering AI applications into production environments and possess deep expertise in modern LLM ecosystems, agentic AI frameworks, and enterprise AI platforms. This role requires strong technical leadership, architecture design skills, and the ability to build scalable, secure, and production-ready AI solutions.

Key Responsibilities :

• Design, architect, and implement enterprise AI solutions using Large Language Models (LLMs) and Agentic AI frameworks.

• Build, deploy, and optimize AI applications for production environments with a focus on scalability, reliability, and security.

• Design and configure enterprise AI tools, including AI agents, copilots, chatbots, and intelligent workflow automation solutions.

• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and enterprise knowledge sources.

• Implement multi-agent architectures, memory management, and orchestration using modern agent frameworks.

• Integrate AI applications with enterprise systems through APIs, Model Context Protocol (MCP), function calling, and Agent-to-Agent (A2A) communication.

• Develop and optimize prompt engineering strategies, structured outputs, and function-calling workflows across multiple LLM providers.

• Fine-tune and evaluate Large Language Models (LLMs) and Small Language Models (SLMs) for domain-specific use cases.

• Design AI governance, monitoring, security, and responsible AI practices for enterprise deployments.

• Collaborate with business stakeholders, solution architects, and engineering teams to translate business requirements into AI solutions.

• Mentor development teams and establish AI engineering best practices.

Required Skills & Experience :

• 8+ years of overall software engineering experience with strong expertise in AI/ML.

• Proven experience delivering AI/Generative AI solutions into production environments.

• Strong proficiency in Python and C#.

• Hands-on experience with Azure AI Foundry and/or Databricks.

• Experience with one or more agentic AI frameworks :