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Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox

Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

Job Summary

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.

Responsibilities

  • Agentic AI Development:

Design, build, and deployagentic AI systems using frameworks such as LangChain, LangGraph, and related libraries.

Develop and deploymulti-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.

  • RAG Pipelines:

Implement and optimizeretrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources forgrounded, accurate responses.

  • LLM Engineering:

Fine-tune and prompt-engineer LLMs fortask-specific reasoning, planning, and dynamic adaptation.

Work withLLM/SLM APIs, embeddings, and advanced generative AI techniques.

  • Enterprise AI Platform:

Lead the development of enterprise-grade AI platforms integratingLLMs, RAG, embeddings, and agentic AI protocols.

Implement and standardizeModel Context Protocol (MCP) for consistent context management across models and agents.

  • MLOps & Observability:

Establish and enforce best practices forMLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.

  • Applied AI Prototyping:

Rapidlyprototype, experiment, and iterate to improve AI agent capabilities.

  • Collaboration & Research:

Participate in thefull research cycle: literature review, data exploration, experimentation, and presentation of findings.

Collaborate effectively with other engineers, researchers, and data scientists.

Contribute to thedocumentation and standardization of technical code and practices.

Required Education

Bachelor’s degree in Computer Science, Engineering, or a related quantitative field.Master’s or Ph.D. is a strong plus.

Required Experience

  • 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 asretrieval-based methods, fine-tuning, or agent-based architectures.

  • 1+ year of experience with frameworks likeLangChain, LlamaIndex, OpenAI, or similar tools.

Required Technical Skills

  • Strong programming skills inPython and basics inSQL.

  • Expertise withLLM/SLM APIs, embeddings, and RAG systems.

  • Experience deploying onGoogle Cloud Platform (GCP) withVertex AI,andIBM WatsonX.

  • Familiarity withagentic AI protocols and exposure toAgent Development Kits (ADKs).

  • Preferred Qualifications

  • Experience implementingModel Context Protocol (MCP) for agent coordination.

  • Prior exposure toLangGraph, AutoGen, or related orchestration frameworks.

  • Knowledge ofMLOps best practices (CI/CD for ML, observability, monitoring, scaling).

  • Familiarity withresponsible AI principles (safety, fairness, interpretability).

  • Experience inenterprise-scale deployments of AI-driven platforms.

  • Contributions toopen-source AI/ML projects are a plus.


Employee Type:
 

Permanent


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by @maxrusakovic