locations

Zurich (Headquarter)

YOUR CHALLENGE:

• Agentic Systems Architecture:
• Design and evolve enterprise agent frameworks including orchestration, tool/function calling, workflow integration, retrieval/grounding and state management
• Develop reusable agent infrastructure ("Agent Factory”) consisting of modular agent templates, tool adapters, prompt modules, evaluation pipelines, and reference implementations to enable scalable and consistent deployment.
• Engineer structured single-agent and multi-agent systems with clearly defined reasoning boundaries, escalation paths and autonomy levels
• Define architectural patterns for distributed agent workflows across domains and business Pods

• Reliable LLM Engineering:
• Implement reliability patterns for LLM-based systems including fallback strategies, structured output validation, deterministic routing and failure containment mechanisms
• Optimize latency, token efficiency and cost-per-interaction while maintaining quality thresholds
• Apply context management and grounding techniques to ensure predictable and auditable behavior

• Prompt Engineering & Conversation Logic:
• Engineer high-quality prompts and system instructions for safe, grounded and structured agent behavior
• Define and maintain prompt libraries, versioning standards and regression testing practices
• Design multilingual (DE/FR/IT/EN) conversational flows aligned with enterprise and regulatory standards

• Evaluation & Quality Control:
• Design and maintain evaluation harnesses including regression suites, golden conversations and structured scoring frameworks
  Define measurable acceptance thresholds and release readiness criteria
• Monitor production behavior including grounding quality, hallucination risk, escalation patterns and performance metrics

• Production Integration & Observability:
• Integrate agentic systems into enterprise channels and backend services with robust authorization, state handling and error management
  Implement observability standards including traces, logs, telemetry and structured evaluation reporting
  Support go-live, hypercare and post-incident improvement cycles

• Safety, Risk & Governance:
• Implement bounded autonomy and human-in-the-loop control patterns
• Enforce guardrails, policy compliance and PII protection mechanisms
• Collaborate with Security, Privacy and Governance teams to ensure enterprise-grade compliance

• Examples of what you’ll help build:
• AI Agents to Enhance Customer Operations:
  Design and implement intelligent agents that analyze customer requests, identify root causes, and suggest effective resolution paths, helping improve service quality, consistency and operational efficiency
• Expansion of an Enterprise Multi-Agent Framework:
  Develop and integrate new specialized agents into a scalable multi-agent architecture to automate workflows, support internal teams, and continuously improve operational processes
• Deployment of AI Copilots for Internal Teams:
  Work closely with business stakeholders to introduce task-focused AI copilots that assist with activities such as case analysis, information retrieval, and process coordination, reducing manual effort and accelerating turnaround times

YOUR SKILLS:

• Bachelor’s or Master’s degree in Computer Science, Engineering, AI or equivalent practical experience
• Strong hands-on experience building and deploying LLM-based applications or agentic systems in production
• Deep understanding of:
• Tool/function calling and structured outputs
• Retrieval-Augmented Generation (RAG)
• Multi-step workflows and orchestration logic
• Context management and reliability techniques for LLM systems
• Experience implementing evaluation frameworks and regression testing for AI systems
• Experience integrating AI services into backend systems and cloud-native environments
• Strong software engineering skills in Python, API design and containerized deployments
• Familiarity with observability, monitoring and production operations for distributed systems
• Ability to reason about system boundaries, autonomy levels and failure modes
• Experience working in cross-functional product teams in federated or hub-and-spoke delivery environments
• Fluent in English; German is a strong advantage