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

UPS Supply Chain Solutions · Posted Nov 4, 2025

Open

IN, India
Full-time · Mid
5+ years

Apply with Referso

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

UPS Supply Chain Solutions · Posted Nov 4, 2025

Open

IN, India
Full-time · Mid
5+ years

Apply with Referso

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

UPS Supply Chain Solutions · Posted Oct 7, 2025

Open

IN, India
Full-time · Senior
5+ years

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Seeking a highly skilled AI Engineer with 5+ years of overall experience in software development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures.

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
Nice to have: Model Context Protocol (MCP)
Nice to have: LangGraph
Nice to have: AutoGen
Nice to have: MLOps best practices

Skills

Python SQL LLM/SLM APIs

Intermediate AI Engineer

UPS Supply Chain Solutions · Posted Sep 29, 2025

Open

IN, India
Full-time · Mid
5+ years

Apply with RefersoAI Apply on careers page

Seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures.

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
Nice to have: Model Context Protocol (MCP)
Nice to have: LangGraph
Nice to have: AutoGen
Nice to have: MLOps best practices

Skills

Python SQL LLM/SLM APIs

IBM WatsonX jobs

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills