UPS · 2 months ago
Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx
IN - TDC 1 (IN110)
Full-time
Onsite
Senior Level
5+ years expUPS is a Fortune Global 500 organization seeking a highly skilled AI Engineer. The role involves designing, developing, and deploying innovative AI systems using advanced technologies like Large Language Models and retrieval-augmented generation.
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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
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
Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions
Rapidly prototype, experiment, and iterate to improve AI agent capabilities
Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings
Collaborate effectively with other engineers, researchers, and data scientists
Contribute to the documentation and standardization of technical code and practices
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or a related quantitative field
Master's or Ph.D. is a strong plus
5+ years overall experience in software development, data science, or machine learning
1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures
1+ year of experience with frameworks like 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 Google Cloud Platform (GCP) with Vertex AI, and IBM WatsonX
Familiarity with agentic AI protocols and exposure to Agent Development Kits (ADKs)
Preferred
Experience implementing Model Context Protocol (MCP) for agent coordination
Prior exposure to LangGraph, AutoGen, or related orchestration frameworks
Knowledge of MLOps best practices (CI/CD for ML, observability, monitoring, scaling)
Familiarity with responsible AI principles (safety, fairness, interpretability)
Experience in enterprise-scale deployments of AI-driven platforms
Contributions to open-source AI/ML projects are a plus
Company
UPS
Operating in more than 200 countries and territories, we’re committed to moving our world forward by delivering what matters.
10001+ employees
H1B Sponsorship
UPS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2021 (5)
2020 (9)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
Innovate UK
2025-07-28Grant
1999-11-10IPO
Leadership Team
Brian Dykes
EVP & Chief Financial Officer at UPS
Joel Stenson
Senior Vice President Global Operations Technology / Enterprise Data & Analytics and Gen AI
Recent News
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