Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx

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Job Summary
Fiche de poste :
We are seeking a highly skilled AI Engineer with 3+ 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 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

• 3+ 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.