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Senior Software Engineer AI Dev Experience (m/w) 100%

Zug · ZG

Hybrid100 %FestanstellungSeniorDeutsch
Berufsfeld
Informatik · Softwareentwicklung
Start
Nach Vereinbarung
Ausbildung
Bachelor
Sprachkenntnisse
Englisch
Lohn
Geschätzt CHF 100’000–130’000 pro Jahr (100 %)
Schätzung von jopp, nicht aus dem Inserat.
Veröffentlicht am
18. September 2026
Zuletzt gesehen
20. September 2026

Job Informationen

Location: Zug (hybrid) Workload: 100% Start: By agreement The AI Developer Experience team builds the tools, services and governance that enable engineers, data scientists and legal subject matter experts to develop dependable AI products. The work spans agentic evaluations and an enterprise AI platform with governed model access, prompt and workflow tooling, retrieval, evaluation and security. Your tasks: You design, develop and maintain robust back-end services and APIs using Python. You architect and implement scalable solutions on AWS cloud infrastructure. You deploy and manage containerised applications using Kubernetes. You ensure system reliability, security and performance through best practices. You collaborate with product managers, architects and other engineers to deliver high-quality software. You participate in code reviews, mentor junior developers and contribute to technical standards. You stay up to date with emerging technologies and propose innovative solutions. Your profile: Bachelor's degree in computer science, engineering or a related field, or equivalent experience Strong proficiency in Python and related frameworks Advanced English Hands-on experience with AWS services such as EC2, S3 and Lambda Solid knowledge of Kubernetes and container orchestration Experience with CI/CD pipelines and DevOps practices Excellent problem-solving skills and the ability to work in a fast-paced environment Nice to have: experience with AI agents or agent frameworks, microservices and event-driven systems, and cloud security best practices Your benefits: Hybrid work model with a digitally and physically connected experience Supportive workplace policies including work from anywhere for up to 8 weeks per year Continuous learning, skills-first career development and growth programmes Flexible vacation, two company-wide mental health days, retirement savings and tuition reimbursement Two paid volunteer days off annually and opportunities for pro-bono and ESG initiatives

Benötigte Skills

  • Englisch
  • Access
  • Security
  • CLOUD
  • Python
  • Machine Learning
  • AWS
  • DevOps

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