AI & Cloud Engineer (AWS)

Sobre a vaga

As an AI & Cloud Engineer, you will help organisations transform complexity into measurable outcomes by designing and building cloud-native AI solutions on AWS. The role combines strong AWS engineering skills with hands-on experience in Generative AI, RAG architectures and LLM-based applications. You will work on solutions that need to move beyond prototypes into production-ready environments.

O que vais fazer

• Design and implement serverless and cloud-native architectures on AWS
• Build and deploy Generative AI and RAG solutions using Amazon Bedrock and related AWS services
• Develop AI services and integrations using Python and Boto3
• Implement retrieval pipelines combining Amazon OpenSearch, Bedrock Knowledge Bases and LLMs
• Design agentic architectures, including AWS Strands Agents or equivalent frameworks
• Build and maintain cloud infrastructure using Terraform / Infrastructure as Code
• Deploy and operate workloads using services such as AWS Lambda, ECS/Fargate, Cognito, IAM and Step Functions
• Define and implement LLMOps practices, including model routing, evaluation, monitoring and dedicated inference profiles
• Apply prompt engineering and LLM evaluation techniques, including LLM-as-a-judge approaches
• Work closely with technical and business stakeholders to translate requirements into robust solutions

O que é pedido

• Relevant academic background in Computer Science, Software Engineering, Information Technology, or equivalent practical experience
• 5+ years of experience in AWS Cloud Engineering, Software Engineering, or Cloud Solution Development
• 2+ years of hands-on experience building and deploying Generative AI and LLM-based applications
• Proven experience designing and implementing cloud-native architectures on AWS
• Demonstrated experience implementing at least one production-grade RAG solution
• Experience working in agile delivery teams and multidisciplinary technical environments
• Professional proficiency in English
• Solid experience with Amazon Bedrock, including foundation models, Knowledge Bases, AgentCore/runtime concepts and guardrails
• Strong Python development skills and experience with Boto3
• Practical experience designing, implementing, and optimising RAG architecture, retrieval pipelines, and AI-powered applications
• Experience with Terraform and Infrastructure as Code
• Good understanding of Amazon OpenSearch and vector/retrieval architectures
• Knowledge of LLM evaluation frameworks and orchestration, including LLM-as-a-Judge, observability, monitoring, testing, and responsible AI practices
• Understanding of agentic architectures, multi-step reasoning workflows, and orchestration patterns for GenAI applications
• Experience with prompt engineering, prompt evaluation, and techniques for improving LLM response quality and reliability
• Ability to make architectural decisions, explain trade-offs and defend technical choices with both technical teams and clients
• Experience building APIs, integrating enterprise applications, and developing production-grade software solutions using modern engineering practices

Valorizado

• Professional proficiency in French
• AWS certifications such as AWS Certified Solutions Architect, AWS Certified Developer, or AI-specialised certifications
• Experience deploying workloads on AWS Lambda, ECS/Fargate, Amazon RDS, Cognito, IAM, and Step Functions
• Understanding of AWS security, including cross-account IAM and enterprise governance practices
• Exposure to MLOps, AI deployment pipelines, and CI/CD practices for machine learning and GenAI solutions
• Exposure to Architecture Review Boards, cloud governance frameworks, or enterprise architecture practices
• Experience working in consulting or client-facing delivery environments
• Exposure to international projects or multicultural teams

O que é oferecido

• Compensation: €300 - €400 B2B daily rate
• 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

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