Agentic AI protocols jobs

Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox

UPS Supply Chain Solutions · Posted Mar 10, 2026

India
Full-time · Senior
IN - TDC 1 (IN110)
5+ years

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Seeking a highly skilled AI Engineer to design, develop, and deploy cutting-edge AI systems leveraging LLMs, Chatbots, RAG, and agentic AI architectures for enterprise AI platforms.

Responsibilities

Design, build, and deploy agentic AI systems using frameworks such as LangChain, LangGraph, and related libraries.
Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.
Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.
Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.
Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.
Nice to have: Model Context Protocol (MCP)
Nice to have: Lang Graph
Nice to have: AutoGen
Nice to have: MLOps

Skills

Python SQL LLM/SLM APIs embeddings

Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx

Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx

Responsibilities

Requirements

Skills

Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox

Responsibilities

Requirements

Skills