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

UPS; Chennai District; On-site; INR 1,200,000 - 2,600,000; Full time

Benefits offered by this job

ADKs

Job summary

UPS recherche un ingénieur IA expérimenté pour concevoir, développer et déployer des systèmes IA avancés basés sur des LLM et des architectures multi‑agents. Vous travaillerez avec LangChain, LlamaIndex et RAG, en visant des plateformes production-ready sur GCP et IBM WatsonX.

Le poste exige une expertise en MLOps, embeddings et protocoles de contexte modèle, avec une forte capacité à prototyper rapidement et à collaborer avec chercheurs et ingénieurs pour livrer des solutions d'entreprise

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 5+ years relevant experience (Senior) or 2+ years (Associate).
• 1+ year hands-on AI with LLMs and retrieval-based methods.
• 1+ year experience with LangChain, LlamaIndex, OpenAI or similar tools.
• Strong programming skills in Python et bases en SQL.

Responsibilities

• Agentic AI Development: design and deploy agentic AI systems.
• Develop multi-agent systems for autonomous decision-making.
• RAG Pipelines: implement and optimize RAG systems.
• LLM Engineering: fine-tune and prompt-engineer LLMs.
• Enterprise AI Platform: lead development integrating LLMs, RAG et embeddings.
• MLOps & Observability: établir des pratiques MLOps et observabilité.
• Applied AI Prototyping: prototyper et itérer rapidement.
• Collaboration & Research: participer au cycle de recherche et documenter les pratiques.

Skills

Python

SQL basics

LLM APIs

Embeddings

RAG systems

Vertex AI

IBM WatsonX

Agent development

LangChain

LlamaIndex

Education

Bachelor’s degree in CS/Engineering

Master’s or PhD

Tools

LangChain

LlamaIndex

OpenAI tools

ADKs

Job description

• LLM Engineering:
  
  

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Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.

Job Summary

Fiche de poste :

We are seeking a highly skilled AI Engineer 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 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:
  
  

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.

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

• Relevant experience
  
  

Senior – Min 5+ yrs of relevance experience

Intermediate – Min 3+ yrs of relevance experience

Associate – Min 2+ yrs of relevant experience

• 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.
  
  

Required Technical Skills

• 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 Qualifications

• Experience implementing Model Context Protocol (MCP) for agent coordination.
• Prior exposure to Lang Graph, 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.
  
  

Type De Contrat

en CDI

Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.