Hi there! I am Laura, the recruiter for this position.
We Are Waiting for You First, a little bit about what I like the most about working at Zurich Technology Delivery Center : The environment here is incredibly collaborative and innovative. Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive.
Who Are We? You're reading about Zurich Insurance Group, a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich's local and global business units.
Growth & Development Work closely with experienced AI engineers and technical leads.
Progressively take ownership of components and workflows over time.
Gain hands‐on experience building production‐grade generative AI systems.
Why Join? Work on cutting‐edge generative AI systems at scale, using cutting‐edge AI assistants in your day‐to‐day work.
Collaborate with a specialised AI team spanning Data Scientists, AI Engineers, and ML Optimisation specialists.
Learn foundational patterns and frameworks that shape how the organisation approaches agentic AI.
What Can You Expect? We're seeking a Junior AI Engineer -- Agentic Workflows to support the development of generative AI systems and contribute to reliable, production‐ready workflows.
You will work closely with senior engineers and cross‐functional teams to translate business problems into structured solutions, gaining hands‐on experience in designing and implementing agentic workflows.
Key Responsibilities Contribute to Agentic Workflows: Support the design and implementation of agentic workflows using LangGraph (or similar), following established patterns and guidance from senior engineers.
Problem Solving & Solution Delivery: Assist in translating business problems into structured technical solutions.
Build Skills, Tools, and Agents: Implement reusable skills, tools, and agents as part of larger workflows.
Apply Engineering Judgement: Learn to choose the right building blocks for a solution.
Model Integration: Support the integration and operation of LLM providers.
Evaluation & Quality Support: Help implement evaluations, datasets, metrics, and guardrails.
Data Structuring & Validation: Contribute to typed schemas and structured outputs.
Observability & Debugging: Help implement logging, tracing, debugging, and monitoring practices.
AI-Accelerated Engineering: Use AI assistants in day‐to‐day work for prototyping, testing, refactoring, and documentation.
What Makes You a Great Fit? Must Have Around 3 years of experience in software engineering, data science, or AI-related roles.
At least 1 year of hands‐on experience working with generative AI technologies.
Solid Python development skills and strong software engineering fundamentals.
Hands‐on exposure to LLM-based systems, including prompting, APIs, and workflow orchestration.
Working knowledge of LangGraph or similar agentic frameworks.
Basic understanding of evaluation methodologies for LLM or agent quality.
Nice to Have Comfort using AI assistants (e.g., Claude Code).
Familiarity with LLM observability tools (Langfuse, LangSmith, etc.).
Exposure to vector databases and RAG patterns.
Basic understanding of cost optimisation and token accounting in LLM systems.
Exposure to async Python patterns.
Experience with Azure deployment and cloud‐native architectures.
What We Offer As well as a competitive salary and a yearly bonus, we offer:
Flexible working model and option to work abroad up to 25 days yearly.
Home office setup allowance and monthly stipend.
Wide range of internal and external trainings.
Ticket restaurant, Health Insurance, Life and accident insurance.
Collective Life retirement Plan.
Employee discounts and referral bonuses.
Dynamic workspace in Barcelona (Poblenou) with gym, gaming areas, and social clubs.
How to Apply Apply by sending your CV in English.
Location(s): ES - Barcelona
Remote working: Hybrid
Schedule: Full Time
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