AI Engineer (AWS)

Sobre a vaga

As an AI / GenAI Engineer, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making. This role is both technical and consultative, perfect for someone who can combine hands-on development, solution design, and delivery of AI-powered solutions.

O que vais fazer

• Design, develop and deploy Generative AI solutions using AWS AI services and modern LLM frameworks
• Build and optimise RAG (Retrieval Augmented Generation) pipelines, including chunking strategies, hybrid retrieval approaches and metadata filtering
• Develop AI applications using Python and AWS SDK (Boto3) to integrate with cloud-native services
• Implement and manage Amazon OpenSearch for semantic search and knowledge retrieval use cases
• Create and maintain Amazon Bedrock Knowledge Bases for enterprise AI solutions
• Design and evaluate Agentic AI architectures, including AI agents, orchestration frameworks and autonomous workflows
• Apply prompt engineering best practices and implement LLM-as-a-Judge evaluation frameworks to measure model quality and performance
• Contribute to LLM FinOps, including model routing strategies, inference optimisation and cost management
• Collaborate with data, cloud and business teams to deliver scalable AI solutions aligned with client objectives
• Provide technical guidance on AI architecture, testing methodologies and production deployment strategies

O que é pedido

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science or a related field, or equivalent professional experience
• 5+ years of experience in Software Engineering, Data Engineering, Machine Learning Engineering or AI-related roles
• At least 2 years of hands-on experience developing and deploying Generative AI and RAG solutions
• Proven experience delivering RAG architecture into production
• Experience designing, implementing and supporting cloud-based applications in AWS
• Experience working in agile and multidisciplinary technical teams
• Professional proficiency in English
• Strong proficiency in Python
• Hands-on experience with AWS SDK (Boto3)
• Experience building and optimising RAG architectures
• Knowledge of Amazon OpenSearch and enterprise search solutions
• Experience with Amazon Bedrock and Knowledge Bases
• Understanding of Agentic AI architectures and AI agent orchestration patterns
• Strong expertise in Prompt Engineering
• Experience implementing LLM evaluation frameworks, including LLM-as-a-Judge
• Knowledge of LLM FinOps, model routing and inference optimisation strategies
• Strong analytical, problem-solving and solution-design capabilities
• Ability to translate business requirements into scalable technical solutions

Valorizado

• Professional proficiency in French
• Experience with LangGraph, LangChain, AWS Strands Agents or similar orchestration frameworks
• Experience in consulting or client-facing environments
• Knowledge of MLOps, CI/CD and AI deployment best practices
• AWS certifications, particularly in AI, Machine Learning or Cloud Architecture
• Exposure to international projects and multicultural teams
• Experience evaluating and benchmarking LLM-based applications in production environments

O que é oferecido

• Compensation: €45k to €70k gross per year / €300 - €400 day
• Competitive salary aligned with your experience and the data market
• Meal allowance: €10.20/day
• Flexible benefits plan
• Private medical insurance
• 22 days of annual leave, increasing every 3 years (up to 25 days)
• Continuous learning via KLX - Keyrus Learning Experience

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.