Intermediate Ai Engineer – Python, Rag, Agentic Ai, Adk, Mcp, Gcp, Vertex Ai, Ibm Watsonx
UPS
Not specified; not specified; not specified
Python programming skills
Llm and rag system development
Langchain and langgraph frameworks
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 lead the development of enterprise-grade AI platforms integrating LLMs, RAG, and multi-agent systems using modern frameworks like LangChain and LangGraph.
Candidates must have strong Python skills and experience with GCP Vertex AI and IBM WatsonX to build scalable, production-grade AI solutions.
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
LLM and RAG system development
LangChain and LangGraph frameworks
GCP Vertex AI and IBM WatsonX deployment
Agentic AI architecture design
Nice-to-have
Model Context Protocol (MCP) implementation
AutoGen orchestration framework experience
Open-source AI/ML project contributions
Responsible AI principles knowledge
Enterprise-scale AI platform deployments
Key Requirements
Bachelor's degree in Computer Science or related field
5+ years overall experience in software development or data science
1+ year hands-on experience with LLM applications and agent-based architectures
1+ year experience with LangChain, LlamaIndex, or similar tools