company_site
Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox
UPS
Chennai, IND
Full-time
Senior · 5+ years experience
Discovered 2 weeks ago
gcplangchainopenaipythonsqlvertex-ai
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
gcplangchainopenai
Role Overview
We are 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.
This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex.
The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms.
Key Skills for This Role
gcplangchainopenaipythonsqlvertex-ai
Full Job Posting
Responsibilities
- Agentic AI Development:
- 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.
- RAG Pipelines:
- Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.
- LLM Engineering:
- 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.
- Enterprise AI Platform:
- Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.
- Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.
- MLOps & Observability:
- Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.
- Applied AI Prototyping:
- Rapidly prototype, experiment, and iterate to improve AI agent capabilities.
- Collaboration & Research:
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at UPS
Seasonal Warehouse Worker - Package Handler
Mays Landing, USA
Discovered TodayPart-time
Seasonal Warehouse Worker - Package Handler
Portland, USA
Discovered TodayPart-time
Warehouse Worker/Cover Driver
Waco, USA
Discovered TodayPart-time
Warehouse Worker/Cover Driver
Belton, USA
Discovered TodayPart-time
Warehouse Worker/Cover Driver
Port Charlotte, USA
Discovered TodayPart-time
Warehouse Worker - Air Handler
Rockford, USA
Discovered TodayPart-time
Tractor Trailer Driver
Chicago, USA
Discovered TodayFull-time
Seasonal Warehouse Worker - Package Handler
Plainfield, USA
Discovered TodayPart-time
