Sr AI Engineer (RAG Specialist with Strong Python Skills)

RELX; Nouvelle-Calédonie; On-site; EUR 91,864 - 152,990; Full time

Job summary

RELX is seeking a highly skilled AI Engineer with expertise in Retrieval-Augmented Generation (RAG) and strong Python programming abilities. The role focuses on developing cutting‑edge AI solutions, testing models, and refining them for performance and scalability.

You will work with AWS services (SageMaker, Bedrock) and frameworks like LangGraph or CrewAI to build autonomous AI systems, with emphasis on prompt engineering and cross‑functional collaboration. Strong Python skills are essential.

Qualifications

• Proven experience as an AI Engineer or similar role.
• Strong proficiency in Python programming.
• In-depth knowledge of Retrieval-Augmented Generation (RAG) models.
• Proven experience in prompt engineering.
• Experience with ML frameworks (TensorFlow, PyTorch).
• Hands-on experience building agentic AI applications and AWS deployments.

Responsibilities

• Test, evaluate and implement AI models with a focus on RAG.
• Strong prompt engineering and prompt testing skills.
• Collaborate with cross-functional teams to integrate AI solutions.
• Optimize and fine-tune RAG models for performance and cost savings.
• Design, build, and deploy agentic AI systems using LangGraph, AutoGen, or CrewAI.
• Architect and deploy AI/ML on AWS services like SageMaker, Bedrock, Lambda, and S3.

Skills

Python proficiency

RAG models

Prompt engineering

AWS cloud

Teamwork

Education

Bachelor's in CS/Engineering

Tools

SageMaker

Bedrock

LangGraph

LangChain

CrewAI

PyTorch

TensorFlow

Job description

About the Role

We are seeking a highly skilled AI Engineer with expertise in Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting‑edge AI solutions.

Key Responsibilities

• Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG).
• Strong prompt engineering and prompt testing skills to derive the desired outcome
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Optimize and fine‑tune RAG models for performance and scalability cost saving.
• Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
• Design, build, and deploy agentic AI systems capable of autonomous planning, tool use, and multi-step task execution using frameworks such as LangGraph, AutoGen, or CrewAI.
• Architect and deploy AI/ML and RAG solutions on AWS, leveraging services such as SageMaker, Bedrock, Lambda, and S3.
• Write clean, efficient, and maintainable code in Python.
• Perform data preprocessing, feature engineering, and model evaluation.
• Troubleshoot and debug AI models and applications in a mono-repo settings.
• Document AI models, processes, and workflows.

Qualifications

• Proven experience as an AI Engineer or similar role.
• Strong proficiency in Python programming.
• In-depth knowledge of Retrieval-Augmented Generation (RAG) models.
• Proven experience in prompt engineering
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Proficiency in data preprocessing and feature engineering techniques.
• Hands‑on experience building agentic AI applications, including tool/function calling, multi‑agent orchestration, and autonomous workflow design.
• Demonstrated experience with AWS cloud services (e.g., SageMaker, Bedrock, Lambda, EC2, S3) for developing and deploying AI/ML solutions.
• Excellent problem‑solving skills and attention to detail.
• Strong communication and teamwork abilities.

Preferred Skills

• Experience with cloud platforms, particularly AWS (e.g., SageMaker, Bedrock, Lambda, ECS/EKS, S3); familiarity with Azure or Google Cloud is a plus.
• Experience with agentic AI frameworks and tooling (e.g., LangGraph, LangChain, AutoGen, CrewAI, AWS Bedrock Agents, Model Context Protocol).
• AWS certification (e.g., AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect).
• Knowledge of natural language processing (NLP) techniques.
• Familiarity with version control systems (e.g., Git).
• Experience with deploying AI models in production environments.

Pay Range

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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