Intermediate / Senior Ai Engineer – Python, Rag, Agentic Ai, Adk, Mcp, Gcp, Vertex Ai, Ibm Watsonx

UPS

Not specified; not specified; not specified
Python programming skills
Large language model (llm) development
Retrieval-augmented generation (rag) implementation
This role involves designing and deploying cutting-edge AI systems leveraging Large Language Models and agentic architectures for a Fortune Global 500 organization

Job Summary

  • This role involves designing and deploying cutting-edge AI systems leveraging Large Language Models and agentic architectures for a Fortune Global 500 organization.
  • The ideal candidate will implement Retrieval-Augmented Generation pipelines and multi-agent systems capable of autonomous decision-making and reasoning.
  • Candidates are expected to lead the development of enterprise-grade AI platforms while establishing best practices for MLOps and observability.

Matching Summary

This role involves designing and deploying cutting-edge AI systems leveraging Large Language Models and agentic architectures for a Fortune Global 500 organization.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Python programming skills
  • Large Language Model (LLM) development
  • Retrieval-Augmented Generation (RAG) implementation
  • Agentic AI architecture design
  • LangChain and LangGraph frameworks
  • Google Cloud Platform Vertex AI deployment
  • IBM WatsonX experience

Nice-to-have

  • Model Context Protocol (MCP) implementation
  • AutoGen orchestration framework knowledge
  • Open-source AI/ML project contributions
  • Responsible AI principles application
  • Enterprise-scale AI platform deployments

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 3+ years relevant experience for Intermediate level
  • 5+ years relevant experience for Senior level
  • 1+ year hands-on experience with LLM applications
  • 1+ year experience with LangChain or similar tools

Work Rights

Not specified

Tailored Resume

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