AI & Cloud Engineer – AWS

Job not on LinkedIn

🔥 10 minutes ago

🌐 Portugal, Spain – Remote

🇵🇹 Portugal – Remote 🇪🇸 Spain – Remote

💵 €300 - €400 / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 0%

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

💼 Consulting

Consulting • Data Analytics • Digital Transformation

Keyrus is a global consulting company that specializes in data and digital transformation. Operating in over 20 countries, Keyrus works with clients to leverage data analytics and cutting-edge digital transformation strategies to drive business success. The company prides itself on being technology agnostic, partnering with various innovative software vendors. Keyrus promotes a multicultural and flexible work environment, emphasizing innovation, trust, and ownership among its employees. The company offers extensive career development opportunities and a comprehensive benefits package. With expertise in data analytics and digital transformation, Keyrus aims to make a significant impact on the digital future.

📋 Description

• 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 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 • Help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making • Move solutions beyond prototypes into secure, scalable and production-ready environments

🎯 Requirements

• 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 • Contractor B2B arrangement • Professional proficiency in French is nice to have • AWS certifications are nice to have • Experience with AWS Lambda, ECS/Fargate, Amazon RDS, Cognito, IAM, and Step Functions is nice to have • Understanding of AWS security, including cross-account IAM and enterprise governance practices is nice to have • Exposure to MLOps, AI deployment pipelines, and CI/CD practices is nice to have • Exposure to Architecture Review Boards, cloud governance frameworks, or enterprise architecture practices is nice to have • Consulting or client-facing delivery experience is nice to have • Exposure to international projects or multicultural teams is nice to have

🏖️ Benefits

• 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 • Collaborative, international, and human-centred work environment