UP
Full time
🤖 AI / ML
Intermediate AI Engineer (Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx) at UPS
Listed by DevShelfHub
India
Hybrid
Senior · 5–9 yrs
About the Role
Enterprise logistics organizations are building production-grade AI platforms with LLMs, RAG pipelines, and multi-agent systems. UPS is hiring an Intermediate AI Engineer to design, develop, and deploy cutting-edge AI systems leveraging LangChain, LangGraph, Vertex AI, and IBM WatsonX.
What you'll do
- Design, build, and deploy agentic AI systems using LangChain, LangGraph, and related libraries
- Develop multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration
- Implement and optimize retrieval-augmented generation (RAG) systems
- Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation
- Lead development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols
- Implement and standardize Model Context Protocol (MCP) for context management
- Establish MLOps, monitoring, and observability best practices
- Rapidly prototype, experiment, and iterate to improve AI agent capabilities
- Participate in full research cycle and collaborate with engineers, researchers, and data scientists
- Contribute to documentation and standardization of technical code and practices
What we're looking for
- 5+ years overall experience in software development, data science, or machine learning
- 1+ year hands-on experience developing AI applications with LLMs (retrieval, fine-tuning, or agent-based architectures)
- 1+ year experience with LangChain, LlamaIndex, OpenAI, or similar tools
- Strong programming skills in Python and basics in SQL
Skills & Technologies
Required
5+ years overall experience in software development, data science, or machine learning
1+ year hands-on experience developing AI applications with LLMs (retrieval, fine-tuning, or agent-based architectures)
1+ year experience with LangChain, LlamaIndex, OpenAI, or similar tools
Strong programming skills in Python and basics in SQL
Expertise with LLM/SLM APIs, embeddings, and RAG systems
Experience deploying on GCP with Vertex AI and IBM WatsonX
Familiarity with agentic AI protocols and Agent Development Kits (ADKs)
Bachelor's degree in Computer Science, Engineering, or related quantitative field
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers hands-on development of agentic AI systems, RAG pipelines, and enterprise AI platforms with MLOps and observability best practices.
- Design, build, and deploy agentic AI systems using LangChain, LangGraph, and related libraries
- Develop multi-agent systems with autonomous decision-making, reasoning, and collaboration
- Implement and optimize RAG systems for grounded, accurate responses
- Fine-tune and prompt-engineer LLMs for task-specific reasoning and planning
- Lead development of enterprise-grade AI platforms integrating LLMs, RAG, and agentic protocols
- Implement Model Context Protocol (MCP) for consistent context management
- Establish MLOps, monitoring, and observability best practices
- Rapidly prototype, experiment, and iterate on AI agent capabilities
- Participate in full research cycle: literature review, experimentation, and presentation
- Deploy on GCP with Vertex AI and IBM WatsonX
- Exposure to Agent Development Kits (ADKs) and responsible AI principles
About UPS
UPS is a Fortune Global 500 organization where talented teams help you become better every day. UPS Technology builds intelligent systems that power logistics operations at massive scale, with a culture that cultivates skills and drives innovation across the enterprise.
- Industry
- Technology
- Company Size
- 500+
- Website
- ups.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 5–9 years
- Location
- India
- Work Mode
- Hybrid
- Category
- AI / ML
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