Senior AI Software Engineer - Hybrid, Flexible Schedule

T-Systems; La Coruña; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid work model

Flexible schedule

Teleworking

Coursera access

Language classes

Global mentoring sessions

Health insurance & wellness benefits

Job summary

T-Systems is seeking an AI-focused Software Engineer to design and implement AI-enabled software with performance, scalability and delivery in mind. You will work across Java, .Net, Angular, React or Vue, connecting APIs and cloud services in a hybrid work setup.

The role emphasizes collaborating with multi-disciplinary teams, driving AI tool adoption, and staying at the forefront of generative AI innovations while engaging internal and external stakeholders.

Qualifications

• 4–6 years in software development and project delivery.
• Experience with Generative AI solutions.
• Degree in Computer Science or equivalent.
• Proficiency in JavaScript frameworks.
• Experience in classic, agile and hybrid project management.
• Java and/or .NET framework domain knowledge.
• Strong cloud environments experience.
• Familiarity with DevOps, GitHub and observability tooling.

Responsibilities

• Integrate AI into existing business ecosystems via APIs and services.
• Develop and retire services using automated code generation tools.
• Coordinate and contribute within technical teams during delivery.
• Stay updated with the latest advances in applied AI.
• Interact with stakeholders, customers and partners.

Skills

Generative AI solutions

Java

.NET

JavaScript frameworks

Cloud technologies

Leading multidisciplinary teams

APIs integration

Education

Bachelor’s degree in Computer Science

Tools

GitHub

CI/CD pipelines

Observability tooling

SBOM compliance tools

Job description

T-Systems is seeking an AI-focused Software Engineer to design and implement AI-enabled software with performance, scalability and delivery in mind. You will work across Java, .Net, Angular, React or Vue, connecting APIs and cloud services in a hybrid work setup.

The role emphasizes collaborating with multi-disciplinary teams, driving AI tool adoption, and staying at the forefront of generative AI innovations while engaging internal and external stakeholders.