Ai Engineer

Why Keyrus, Why Now
Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses.
Architected intelligence does.
For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.
AI does not replace humans.
It repositions us to a place no system can follow: understanding, deciding, designing, and creating.
At Keyrus, you will not just develop skills — you will develop judgment.
Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.
Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision‐making at scale, across industries and geographies.
This is not a role you fill.
It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.
Technology amplifies.
Keyrus culture differentiates.
Industrial discipline connects the two.
Role Details
Job location: Portugal or Spain (Remote model)
Contract type: Employee / Fixed-term / Contractor B2B
Target start date: ASAP
Working hours: Full-time
Compensation: €45,000 - €70,000 gross per year
What You'll Architect
As an AI Engineer in an AWS environment, 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, cloud engineering, solution design, and client delivery.
We're looking for professionals who can move AI initiatives from experimentation to enterprise‐scale production environments.
Key Responsibilities
Design and develop Generative AI solutions using Amazon Bedrock, including Foundation Models, Knowledge Bases, RAG patterns, and agent‐based architectures
Build, deploy, and maintain production‐ready AI applications and services within AWS cloud environments
Develop serverless solutions using AWS Lambda and orchestrate workflows through AWS Step Functions
Containerise and deploy workloads using Amazon ECS and AWS Fargate
Integrate AI solutions with enterprise systems and data platforms, including Amazon RDS and Snowflake
Design scalable, secure, and maintainable architectures for enterprise AI applications
Implement infrastructure using Terraform and Infrastructure as Code best practices
Apply AWS IAM security principles, roles, permissions, and governance standards
Develop REST APIs and backend services to support AI‐powered applications
Support the industrialisation of GenAI use cases, transitioning solutions from PoC to production
Collaborate closely with Data Engineers, Cloud Engineers, Architects, AI Specialists, and client stakeholders
Contribute to technical standards, architectural decisions, and AWS/AI best practices across projects.
Who You Are
You are curious, analytical, and motivated by solving meaningful business challenges
You enjoy turning complexity into clarity and action
You balance technical thinking with business understanding
You are comfortable working in collaborative and international environments
You take ownership of your work and follow through on commitments
You value continuous learning and are motivated by long‐term professional growth
You communicate clearly and effectively with a variety of stakeholders
You enjoy building practical solutions and bringing AI use cases into real‐world production environments.
What You Bring
Qualifications & Experience
Relevant academic background in Computer Science, Software Engineering, Artificial Intelligence, Data Engineering, or equivalent professional experience
Experience as an AI Engineer, Machine Learning Engineer, Cloud Engineer, Data Engineer, or similar role
Strong hands‐on experience working with AWS in production environments
Experience designing, developing, and deploying Generative AI or LLM‐based applications
Experience building scalable cloud‐native applications and services
Strong understanding of software engineering principles, APIs, and distributed architectures
Ability to work effectively in multidisciplinary environments
Professional proficiency in English.
Technical & Professional Skills
Amazon Bedrock, Foundation Models, Knowledge Bases, Retrieval‐Augmented Generation (RAG), and agent‐based AI architectures
AWS cloud services including Lambda, ECS, Fargate, RDS, IAM, and Step Functions
IaC using Terraform and cloud‐native architecture design princi