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: Zaandam, Netherlands (Hybrid – 2 days on-site/week)
🕒 Contract type: Freelance / B2B Contract – 6 months
🗓 Target start date: ASAP
⏰ Working hours: Full-time
💵 Compensation: 380 to 480 EUR per day

📋 What You'll Architect

As an AI Engineer, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.

You’ll play a key role in designing, building, and deploying enterprise-grade AI solutions, turning advanced technologies such as Large Language Models, Retrieval-Augmented Generation (RAG), and Agentic AI into reliable, scalable applications that deliver real business value.

This role is both hands-on and technical leadership-oriented — perfect for an experienced engineer who can move comfortably from architecture and solution design to coding, deployment, and mentoring other engineers.

You will:

• Design and develop scalable enterprise AI architectures for LLM, RAG, and Agentic AI applications.

• Build production-ready AI applications using Python, LangChain, REST APIs, and microservices.

• Develop and integrate LLM-powered solutions, including RAG pipelines, AI agents, and supporting services.

• Design solutions that are secure, maintainable, scalable, and fit for enterprise environments.

• Work with Azure, Docker, Kubernetes, PostgreSQL, and pgvector to deploy and operate AI solutions.

• Contribute to technical decisions around architecture, frameworks, APIs, data, infrastructure, and deployment.

• Drive engineering quality through code reviews, technical guidance, and mentoring of other engineers.

• Collaborate with multidisciplinary teams and stakeholders to translate business requirements into effective technical solutions.

• Support delivery through CI/CD, Agile development practices, testing, and continuous improvement.

👤 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.

🛠️ What You Bring

Qualifications & Experience

• 6–10 years of professional software engineering experience.

• 2–5 years of hands-on experience building and deploying AI/LLM applications in production environments.

• Strong experience designing and implementing enterprise-grade AI solutions and architectures.

• Proven experience taking AI solutions from development through to production.

• Experience working in Agile, collaborative, and engineering-focused environments.

• Professional proficiency in English.

Technical & Professional Skills

• Strong hands-on programming skills in Python.

• Solid experience with Large Language Models (LLMs), RAG, and Agentic AI.

• Practical experience with LangChain or similar AI orchestration frameworks.

• Strong understanding of REST APIs and microservices architectures.

• Experience with Microsoft Azure and cloud-based solution development.

• Hands-on experience with Docker and Kubernetes.

• Experience with PostgreSQL and pgvector or similar vector database technologies.

• Strong understanding of AI application architecture, scalability, integration, and production deployment.

• Experience with CI/CD pipelines, automated testing, and modern software engineering practices.

• Strong problem-solving and analytical capabilities, with the ability to turn complex technical challenges into practical solutions.

• Ability to communicate technical concepts clearly and collaborate effectively with both technical and non-technical stakeholders.

• Experience conducting code reviews and mentoring engineers.

Nice to Have

• Experience in consulting or client-facing environments.

• Experience designing AI platforms or solutions for large enterprise environments.

• Knowledge of cloud-native AI/ML services and MLOps practices.

• Experience with additional LLM orchestration, agent frameworks, or AI development platforms.

• Exposure to international projects or multicultural engineering teams.

• Relevant cloud, AI, or software engineering certifications.

⭐ What Makes You Successful

• You focus on outcomes rather than activity.

• You approach challenges with curiosity and pragmatism.

• You communicate complex concepts in a clear and accessible way.

• You are comfortable navigating ambiguity and finding practical solutions.

• You contribute to collective intelligence by sharing knowledge and supporting others.

• You combine autonomy with collaboration.

• You continuously look for opportunities to improve systems, processes, and results.

🎁 What We Offer at Keyrus Portugal

• 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

• A collaborative, international, and human-centred work environment

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

• Bottom of the range
  You meet the core requirements and will need ramp-up time and support.

• Middle of the range
  You are fully autonomous from Day 1 and deliver consistently.

• Top of the range
  You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

🔒 Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.
To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.

To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.

Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

⚠️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

♿ Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.