Senior AI Engineer - Agentic Workflows

Senior AI Engineer - Agentic Workflows

Responsibilities

• Design Agentic Workflows & Problem Decomposition: Architect end-to-end workflows using LangGraph (or similar), breaking complex problems into composable steps, states, and policies. Translate high‑level business problems into structured agentic solutions, defining workflows, components, and trade‑offs across multiple design options.
• Build Skills, Tools, and Agents: Implement reusable skills, tools, and agents, and compose them into workflows that are maintainable and testable. Demonstrate strong judgement on when to build a skill vs. a tool vs. an agent vs. a workflow, based on problem decomposition, system design trade‑offs, and long‑term maintainability—balancing accuracy, complexity, observability, and long‑term reuse.
• Model Strategy, Integration & Performance Optimization: Integrate and operate multiple LLM providers, optimising for latency, cost, and output quality. Optimize prompt engineering, token usage, chunking strategies, and inference efficiency across the platform. Design typed schemas (e.g., Pydantic models) for reliable data flows, tool contracts, and structured outputs.
• Evaluations, Quality & Observability: Define and implement evaluation strategies (offline and online), datasets, metrics, and guardrails to validate agent behaviour and measure regression over time. Implement logging, tracing, and monitoring for agentic systems using tools like Langfuse or LangSmith.
• Cross‑functional Collaboration: Partner with data scientists, engineers, and product teams to translate requirements into robust agentic capabilities and deliver measurable value. Support colleagues and junior engineers through mentorship, code review, and technical guidance. Guide the team in building robust evaluation practices and establishing strong quality standards. Use AI assistants (including Claude Code) in day‑to‑day work for prototyping, refactoring, testing, and documentation—while applying strong engineering judgement.

Qualifications

• 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
• Proven experience with LangGraph or similar agentic frameworks (LangChain, other orchestration frameworks acceptable)
• Strong understanding of evaluation methodologies for LLM/agent quality (datasets, metrics, human review, regression testing)
• Proven ability to decompose complex, ambiguous business problems into scalable technical solutions, from high‑level requirements to detailed design

Nice to Have

• Experience with agent‑building frameworks and tools (e.g., AutoGen, Deep Agents)
• Comfort using AI assistants (e.g., Claude Code) as part of the daily engineering workflow
• Familiarity with LLM observability tools (Langfuse, LangSmith, etc.)
• Background with vector databases and RAG patterns
• Experience with knowledge graphs and semantic data structures
• 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

Benefits

• Competitive salary and yearly bonus
• Flexible working model to support work‑life balance
• Option to work abroad up to 25 days yearly
• Over 300 euros to set up your home office and additional monthly home‑office allowance
• Wide range of internal and external trainings, including English, German and Spanish classes depending on the needs
• Ticket restaurant and health insurance with flexibility to exchange for other benefits
• Life and accident insurance
• Collective life retirement plan
• 2000 referral bonus if you bring other talented people like you to the company
• Special banking and insurance conditions plus exclusive employee discounts
• Functional diversity benefits
• Stock options and mortgage benefits

Location: Barcelona, Poblenou.

At Zurich, we are an equal opportunity employer. We attract and retain the best‑qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age or disability.