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Open nowPosted yesterday

AI Software Engineer (w/m/d) 80-100%

swisslife432 open roles

Where
Zürich
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Your applicationOpen nowAI Software Engineer (w/m/d) 80-100%swisslife · Zürich

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on swisslife's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. swisslife postings stay open a median of 24 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted yesterday

swisslife median: 24 days open

The posting

Shape the future. Yours and ours.

Would you like to help people to lead a self-determined life? And do you want to use your creative scope to reconcile your professional and personal ambitions? Then we can offer you an exciting prospect: at Swiss Life you will be able to deploy your individual talents and expertise in a stimulating and flexible work environment. What’s more, you will be given a good measure of responsibility and can thus contribute to shaping the future of Swiss Life.

Wir suchen einen pragmatischen, lösungsorientierten AI Software Engineer, der in dynamischen, interdisziplinären Teams strategische Business-Vorhaben in produktionsreife Agentic-AI-Lösungen umsetzt. Du denkst vom Business-Problem her und verbindest solides Software Engineering mit autonomen AI-Architekturen und Recursive Self-Improvement (RSI), um verlässliche, betriebsfähige Software mit spürbarem Mehrwert zu liefern.

Dein Verantwortungsbereich

  • End-to-End Engineering Ownership in fokussierten, interdisziplinären Vorhaben übernehmen: von der Anforderungsklärung und Architektur bis zu testbaren, deploybaren und operations-ready Produktionsservices (inkl. Observability, SLOs und Runbooks)
  • Stateful Multi-Agent Workflows, Tool-Integrationen (MCP, A2A, Enterprise APIs), hybride Retrieval-/Memory-Pipelines sowie Recursive-Self-Improvement-(RSI)-Loops mit verlässlichen Guardrails entwerfen und orchestrieren
  • Direkt mit Business Stakeholdern, Domain Experts, Architects und Engineers zusammenarbeiten, um die eigentlichen Business-Probleme im Kern zu verstehen, in pragmatische Lösungen zu übersetzen und mittels Automated Evals sowie User-Feedback kontinuierlich weiterzuentwickeln
  • Cloud-native Services sowie CI/CD- und Evaluation-Pipelines mit GitHub und Azure aufbauen und betreiben sowie Best Practices und Engineering-Standards aktiv über Teams hinweg teilen

Deine Stärken

  • Mindestens 5 Jahre Berufserfahrung im professionellen Software Engineering mit Fokus auf resiliente, produktionsreife Systeme in agilen, interdisziplinären Teams; Praxiserfahrung in der Entwicklung und Produktivsetzung von Agentic-AI-Systemen (Multi-Agent Orchestration, Tool Use, MCP, State/Memory Management, RSI Patterns und Agentic RAG)
  • Fundiertes Praxiswissen zu aktuellen Frontier Reasoning-, Multimodal- und Open-Weight-Modellen (OpenAI GPT, Claude, Gemini, Qwen, DeepSeek etc.) inklusive Context Engineering,Model Routing, Structured Outputs sowie Automated Evals und Tracing
  • Starke Software-Engineering- und Cloud-Native-Skills (Python und/oder TypeScript sowie .NET/C#und ASP.NET Core für Enterprise Backends) auf Azure und Kubernetes unter Einsatz von Azure AIFoundry und GitHub (GitHub Actions, Copilot)
  • Solides Verständnis von Enterprise AI Security, Datenschutz und Governance (Least-PrivilegeAgent Permissions, Sandboxed Execution, Prompt-Injection Defense, Auditability)
  • Lösungsorientierte, kommunikative und teamorientierte Persönlichkeit, die Business-Anforderungen rasch erfasst, mit AI-nativen Workflows innovative Lösungen entwickelt und messbaren Mehrwert schafft; Freude an interdisziplinärer Zusammenarbeit, Cross-Skilling und Mentoring runden dein Profil ab

Your benefits

We help our employees to shape their professional development and their private life to their best advantage and throughout all phases of their life. Our attractive benefits, such as options for working from home, 25 to 30 days of leave, 3rd pillar premium contributions and a broad range of continued training options contribute to this goal.

Information for recruitment agencies

For this position, Swiss Life is not accepting any application dossiers from recruitment agencies that are submitted spontaneously. Only applications submitted by prior agreement via the recruitment agency jobs portal will be accepted.

No liability will be accepted for spontaneous applications and any fees/costs incurred by them. Thank you for your understanding.

Your contact

Petra Bärtsch

Tel:

+41 43 284 65 36

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