🌍 About Keyrus

Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective.

Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.

Data is never the goal in itself.
We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions.

At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.

#OneTeamOneKeyrus

🎯 The Role

As a Senior Full-Stack Engineer (Angular & GenAI Integration), you will work at the intersection of software engineering, AI, and business transformation, helping build and scale modern web platforms enhanced by GenAI capabilities.

You will join a strategic transformation initiative in the insurance sector, developing enterprise-grade applications that integrate Angular frontends, Python/FastAPI backends, and GPT-based modules to improve business workflows, document handling, and operational efficiency.

📍 Job location: 90% Remote (Europe-based) / 10% On-site in Cologne, Germany
🕒 Contract type: Employee or Contractor
🗓 Target start date: July
⏰ Working hours: Full-time (40h/week)
💵 Compensation:

• Portugal: Annual gross salary between €50,000 to €65,000

• Spain: Annual gross salary between €55,000 to €70,000

• B2B Contractor: Between €300 to €400/day

Note: All applications (CVs) must be submitted in English.

💥 Your Impact

In this role, you will:

• Develop and scale enterprise web applications using Angular

• Integrate frontend applications with Python/FastAPI backends

• Implement GPT/LLM-based modules to support evaluation, automation, and workflow optimisation

• Design, build, and consume REST APIs within a microservices architecture

• Implement secure authentication and authorisation mechanisms

• Collaborate closely with Data Science and platform teams to integrate AI capabilities

• Participate in technical architecture discussions and contribute to system design decisions

• Ensure scalability, maintainability, and performance of applications

• Contribute to Agile ceremonies and delivery planning

• Support deployment, integration, and release activities across environments

⚡ What Makes This Role Challenging

• You will work in a highly regulated industry environment (insurance)

• You will integrate front-end, back-end, and GenAI components into cohesive systems

• You will need to balance innovation (GenAI) with enterprise reliability and security

• You will collaborate across engineering, data science, and platform teams

👤 What We’re Looking For

Must-haves

• +8 years of experience in software engineering

• At least 3–4 years of Angular experience in enterprise environments

• Strong expertise in Angular and TypeScript

• Solid backend experience with Python and FastAPI

• Proven experience with REST APIs and microservices architectures

• Experience implementing authentication and security best practices

• Experience working with or integrating AI / LLM / GenAI services

• Experience developing enterprise-scale applications

• Experience working in Agile/Scrum environments

• Strong collaboration experience with Data Science or AI teams

• Fluent English and German

• Must be a Portuguese or European citizen, or hold a valid work permit for Portugal

Nice-to-haves

• Experience in insurance or other regulated industries

• Exposure to Azure or cloud-native environments

• Experience with RAG architectures or vector databases

• Familiarity with CI/CD pipelines and DevOps practices

• Knowledge of GenAI orchestration frameworks

💰 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.

🎁 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

💙 Why Keyrus?

Joining Keyrus means joining:

• A market leader in Data Intelligence

• A company where people, trust, and diversity are core values

• An environment that values ownership, flexibility, and innovation

• A place where different backgrounds and perspectives are not just welcomed = they are essential

We believe diversity drives better thinking, stronger teams, and better outcomes.
Everyone belongs at Keyrus.

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 hiring decisions or evaluate candidates.

🔒 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.