AI Engineer - Agentic Workflows

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133757

AI Engineer – Agentic Workflows

We're seeking a Senior AI Engineer – Agentic Workflows to build the skills, tools, and agents that power our most advanced products incorporating generative AI—and to bring them together into reliable, production-ready workflows.

You will work closely with business and product teams to translate high-level problems into structured agentic workflows and production-ready solutions.

You'll design multi-step agentic systems using Lang Graph and integrate leading LLM providers. You will be asked to work smart and efficiently with Claude Code and similar tools as part of your day-to-day engineering workflow to accelerate delivery and improve code quality.

A key part of the role is establishing strong evaluation practices to measure quality, reliability, and cost, while maintaining a high sense of ownership from design through deployment.

As an AI Engineer, your main responsibilities will involve:

• Design end-to-end agentic workflows (e.g., with Lang Graph) to solve complex problems.
• Translate business needs into structured, scalable AI solutions.
• Build and compose reusable skills, tools, and agents.
• Choose the right approach (skill, tool, agent, workflow) for performance and maintainability.
• Integrate multiple LLMs, optimizing cost, speed, and quality.
• Improve performance via prompt design, token use, and inference efficiency.
• Define evaluations, metrics, and guardrails to ensure quality and reliability.
• Structure and validate data using typed schemas (e.g., Pydantic).
• Implement observability, logging, and debugging tools.
• Leverage AI assistants to accelerate development.
• Collaborate cross-functionally to deliver impactful AI solutions.

As an AI Engineer, your skills and experience will ideally include:

• 5+ years Python development with strong software engineering fundamentals
• Hands-on experience building production systems with Large Language Models
• High ownership & proactive communication:
  Delivers assigned outcomes autonomously, keeping progress visible and proactively surfacing blockers, changes in approach, and trade-offs—seeking input early when needed
• Proven experience with Lang Graph or similar agentic frameworks (Lang Chain, other orchestration frameworks acceptable)
• Strong understanding of evaluation methodologies for LLM/agent quality (datasets, metrics, human review, regression testing)
• Ability to reason about when to build a skill vs tool vs agent vs workflow, with clear trade-offs
• Proven ability to decompose complex, ambiguous business problems into scalable technical solutions, from high-level requirements to detailed design.

• Comfort using AI assistants (e.g., Claude Code) as part of the daily engineering workflow
• Familiarity with LLM observability tools (Langfuse, Lang Smith, etc.)
• Background with vector databases and RAG patterns
• Understanding of cost optimisation and token accounting in LLM systems
• Production experience with async Python patterns (asyncio, concurrent request handling)
• Experience with Azure deployment and cloud-native architectures
• Knowledge of evaluation frameworks and metrics for AI output quality

• Work on cutting-edge generative AI systems at scale, using cutting-edge AI assistants on your day to day
• Collaborate with a specialized AI team (Data Scientists, AI Engineers, ML Optimization specialists)
• Build foundational patterns and frameworks that define how the organization approaches agentic AI

Compensation for roles at Zurich depends on a wide array of factors including but not limited to the specific role, skill set, level of experience, and subject to applicable law. Zurich thus provides a range of compensation aligned to internal job architecture and market benchmarks to ensure fair and consistent pay for comparable roles.

The starting base salary range for this position is 2900 EUR.

Personal days off, Concentrated work week, Additional vacation, Home office, Extra days off at occasion of childbirth, Sabbatical leave, Workcation

Life insurance from Zurich Austria, Compensation for salary loss during sick leave, 3rd pension pillar contribution, Risk Life Insurance, Meal contribution on top of the legally required minimum, Years of service bonus, Wedding bonus, Baby bonus

Edenred electronic cafeteria, Public Transport contribution, Maternity leave benefits, Massages in the office

Professional Certifications, Online Education Portals, Extensive Onboarding program, Strengths based culture (GALLUP)

At our company, we recognize the importance of fostering an open-minded, safe and inclusive environment for everyone. We stand with diversity and respect different backgrounds and lifestyles. That's why we've implemented numerous initiatives to ensure our employees feel comfortable, accepted and respected at all times.