Senior AWS AI Engineer

Job not on LinkedIn

🔥 17 hours ago

🌐 Portugal, Spain – Remote

🇵🇹 Portugal – Remote 🇪🇸 Spain – Remote

💵 €45k - €70k / year

⏰ Full Time

🟠 Senior

🤖 AI 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 applications using Amazon Bedrock, foundation models, Knowledge Bases, Agent capabilities, guardrails, and related AWS services • Develop AI applications and services using Python and Boto3 • Design and implement production-grade Retrieval-Augmented Generation solutions using Amazon OpenSearch, Bedrock Knowledge Bases, vector search technologies, and LLMs • Design and optimise RAG pipelines, including chunking strategies, retrieval optimisation, metadata filtering, and context management • Implement semantic search solutions using Amazon OpenSearch • Design and build agent-based architectures using Bedrock Agents and AgentCore capabilities • Develop prompt engineering frameworks and reusable prompting strategies • Implement LLM evaluation methodologies, including LLM-as-a-Judge and automated evaluation frameworks • Design model routing and inference optimisation strategies • Apply GenAI observability, monitoring, and operational best practices • Contribute to AI governance, evaluation, and responsible AI initiatives • Support the industrialisation of AI solutions into scalable production environments • Collaborate with Cloud Engineers, Data Engineers, Architects, and client stakeholders • Contribute to AI engineering best practices, standards, and reusable frameworks

🎯 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 • Expertise in Amazon Bedrock, including Foundation Models, Knowledge Bases, Bedrock Agents, and AgentCore capabilities • Experience designing, implementing, and optimising RAG architectures, retrieval pipelines, and AI-powered applications • Strong Python and Boto3 development skills • Experience with semantic search, Amazon OpenSearch, vector-based retrieval, metadata filtering, and search optimisation techniques • 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 • Knowledge of LLM evaluation frameworks, including LLM-as-a-Judge, observability, monitoring, testing, and responsible AI practices • Understanding of LLM FinOps, model routing strategies, inference optimisation, and cost-performance trade-offs • Experience building APIs, integrating enterprise applications, and developing production-grade software solutions using modern engineering practices • French proficiency, AWS certifications, Terraform and Infrastructure as Code, AWS Lambda/ECS/Fargate/RDS/Cognito/IAM/Step Functions, AWS security, MLOps, CI/CD, architecture governance, consulting/client-facing delivery, and international projects are 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 • A collaborative, international, and human-centred work environment