Senior AWS AI Engineer

This is a fully remote position, open to applicants in Portugal, +1 more country.

📋 Description

• Design and execute serverless and cloud-native architectures on AWS.

• Develop and deploy Generative AI applications utilizing Amazon Bedrock, foundation models, Knowledge Bases, Agent capabilities, guardrails, and associated AWS services.

• Create AI applications and services leveraging Python and Boto3.

• Design and implement production-grade Retrieval-Augmented Generation solutions with Amazon OpenSearch, Bedrock Knowledge Bases, vector search technologies, and LLMs.

• Optimize RAG pipelines by incorporating chunking strategies, retrieval enhancement, metadata filtering, and context management.

• Implement semantic search solutions utilizing Amazon OpenSearch.

• Construct agent-based architectures by using Bedrock Agents and AgentCore functionalities.

• Develop frameworks for prompt engineering and reusable prompting strategies.

• Apply methodologies for LLM evaluation, including LLM-as-a-Judge and automated evaluation frameworks.

• Design strategies for model routing and inference optimization.

• Implement best practices for GenAI observability, monitoring, and operations.

• Contribute to AI governance, evaluation, and initiatives focused on responsible AI.

• Assist in the industrialization of AI solutions for scalable production environments.

• Collaborate with Cloud Engineers, Data Engineers, Architects, and client stakeholders.

• Contribute to best practices, standards, and reusable frameworks in AI engineering.

⛳️ Requirements

• Relevant academic qualifications in Computer Science, Software Engineering, Information Technology, or equivalent practical experience.

• Over 5 years of experience in AWS Cloud Engineering, Software Engineering, or Cloud Solution Development.

• At least 2 years of practical experience in building and deploying Generative AI and LLM-based applications.

• Proven track record in designing and implementing cloud-native architectures on AWS.

• Demonstrated experience in implementing a production-grade RAG solution.

• Experience in agile delivery teams and multidisciplinary technical environments.

• Professional fluency in English.

• Expertise in Amazon Bedrock, including Foundation Models, Knowledge Bases, Bedrock Agents, and AgentCore functionalities.

• Experience in designing, implementing, and optimizing RAG architectures, retrieval pipelines, and AI-driven applications.

• Strong development skills in Python and Boto3.

• Experience with semantic search, Amazon OpenSearch, vector-based retrieval, metadata filtering, and search optimization techniques.

• Understanding of agentic architectures, multi-step reasoning workflows, and orchestration patterns for GenAI applications.

• Experience in prompt engineering, prompt evaluation, and techniques for enhancing 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 optimization, and cost-performance trade-offs.

• Experience in building APIs, integrating enterprise applications, and developing production-grade software solutions using modern engineering practices.

• Proficiency in French, AWS certifications, Terraform, 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 project experience are advantageous.

🏝️ 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 opportunities via KLX – Keyrus Learning Experience.

• A collaborative, international, and human-centered work environment.