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Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox Job Opening In Chennai – Now Hiring UPS

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

    India Jobs Expertini Expertini India Jobs Chennai Other General Senior Ai Engineer – Python, Rag, Agentic Ai, Adk, Mcp, Gcp, Vertex Ai, Ibm Watsox

Job description

**Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page.**

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.

**Fiche de poste :**

**Job Summary**

We are seeking a highly skilled AI Engineer with 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**

+ **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** .

**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 **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.

**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._

Required Skill Profession

Other General


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at UPS adheres to the cultural norms as outlined by Expertini.

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Interview Tips for Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox Job Success

UPS interview tips for Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox

Here are some tips to help you prepare for and ace your Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox job interview:

Before the Interview:

Research: Learn about the UPS's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Additional Tips:

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Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox interview at UPS, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the UPS's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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