Agentic/Gen AI Engineer

The Company

India's marquee global technology company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the IT product and service industries. They are a respected career company and a long-term wealth creator.

The Job :

We are seeking an experienced Generative AI and Agentic AI Engineer to design, develop, and deploy enterprise-scale AI solutions leveraging LLMs, RAG architectures, autonomous agents, multi-agent systems, and cloud-native AI platforms.

The ideal candidate will have strong experience in AI/ML, NLP, Python, Azure OpenAI, LangChain/LangGraph, and production-grade AI solution development. Skills such as MCP, agent orchestration, observability, guardrails, and governance are highly desirable.

Key Responsibilities

• Design and develop Generative AI applications using LLMs such as GPT, Claude, Llama, and Gemini.
• Build Agentic AI solutions with autonomous agents, multi-agent workflows, and tool integrations.
• Develop RAG pipelines using vector databases and enterprise knowledge sources.
• Implement AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent.
• Build AI applications on Azure OpenAI and Azure AI services.
• Design agent communication protocols, MCP integrations, and enterprise tool connectivity.
• Implement guardrails, observability, monitoring, validation, and governance mechanisms for AI systems.
• Optimize prompts, context engineering, token utilization, and model performance.

Required Skills

• 6+ years of hands-on experience in Generative AI and LLM-based application development along with ML experience.

• Strong programming skills in Python.

• Experience with:

• Azure OpenAI Service

• LangChain/LangGraph

• RAG architectures

• Vector Databases (FAISS, Pinecone, ChromaDB, Azure AI Search)

• Prompt Engineering

• LLM Evaluation and Fine-tuning

• REST APIs and FastAPI

• Agentic AI frameworks, MCP, A2A communication, workflow orchestration, and enterprise AI patterns.