Overview
Requirements
Work on-site in Portugal
No relocation package mentioned.
Have 7+ years of experience
Senior-level role.
Pay & benefits
What you'll get
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
The role
The Senior Engineer is responsible for designing, building, and scaling AI-enabled solutions that enhance software delivery effectiveness. The role combines strong software engineering fundamentals with practical expertise in AI-assisted development, automation, testing, and operational excellence. The Senior Engineer actively drives adoption of AI-DLC practices and partners with product, architecture, and platform teams to accelerate delivery and improve quality.
Our client is a large global enterprise operating across multiple markets, with a complex technology landscape and a strong focus on digital transformation and innovation. The organization is actively investing in modern cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions across its business.
The project is focused on building an enterprise-grade AI Agent Platform from the ground up. The platform will provide a standardized foundation for developing, deploying, orchestrating, securing, and observing AI agents across multiple teams and use cases.
The initiative covers the full agent lifecycle and brings together agent orchestration, observability, security, governance, integrations, evaluation, and platform engineering. Engineers joining the project will have an opportunity to influence key architectural and technical decisions and contribute to a new platform rather than maintaining an existing solution.
What you'll do
- Build and maintain AI-powered engineering solutions.
- Develop and optimize prompts, agents, copilots, and automation workflows.
- Integrate LLM capabilities into enterprise applications.
- Apply AI throughout requirements analysis, design, development, testing, and operations.
- Drive implementation of AI-assisted coding and testing practices.
- Support engineering teams in adopting AI-native ways of working.
- Design and develop scalable cloud-native applications.
- Perform code reviews and technical design reviews.
- Ensure security, quality, maintainability, and performance standards.
- Build CI/CD pipelines and engineering automation.
- Implement automated quality gates and testing frameworks.
- Monitor and optimize platform reliability.
- Evaluate emerging AI technologies.
- Share best practices and lessons learned.
- Contribute to engineering standards and communities of practice.
Technical Skills
- Python, Java, TypeScript, or C#
- LLM APIs and frameworks
- Agentic workflows
- RAG implementations
- Vector databases
- Prompt engineering
- CI/CD pipelines
- Containerization and Kubernetes
- GitHub, GitHub Copilot, Azure DevOps, Jira
Key Competencies
- Technical problem solving
- AI innovation
- Automation-first mindset
- Collaboration
- Communication
- Ownership and accountability
Requirements
Nice to have
- AI/ML certification or equivalent practical experience.
- Experience implementing enterprise AI governance requirements.
- Experience mentoring junior engineers and leading technical initiatives.
Education & certifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 7+ years of software engineering experience.
- Hands-on experience developing AI-enabled applications.
- Strong experience with cloud-native technologies and DevSecOps.
About Intellias
Intellias is an AI-enabled product engineering and digital solutions partner, operating in the IT services industry. The company has over 20 years of engineering experience, employs more than 3,000 AI-enabled engineers, and serves over 170 enterprise clients worldwide. Intellias delivers digital products across mobility, healthcare and life sciences, financial services and insurance, retail, and iGaming, with a global network spanning 17 countries and 23 offices.
Intellias has a presence in Spain, with a validated office location in Malaga. The company's global delivery model and focus on senior engineering talent make it a relevant employer for international professionals, particularly those with expertise in software engineering, data engineering, AI/ML, and cloud infrastructure. With roles open in Spain across various engineering and architecture disciplines, Intellias offers opportunities for experienced professionals to work on complex, enterprise-scale projects.
- Industry
- IT Services
- Founded
- 2002
- Employees
- 3,000–5,000
- Headquarters
- Lviv, Ukraine
- Website
- intellias.com
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