Software Engineer II (Fullstack), AI Copilot

Software Engineer II (Fullstack), AI Copilot

Zendesk

Lisbon or Remote, Portugal

What you'll be doing

• Deliver product features end-to-end - from frontend UI through backend services, testing, and release - with support and guidance from senior engineers.
• Build and maintain React/TypeScript user interfaces for AI-powered conversational experiences.
• Build and maintain backend services, APIs, and integrations that power the product.
• Work within a cross-functional team alongside ML engineers and scientists to build and maintain AI-powered product experiences.
• Write clean, well-tested, and maintainable code across the stack in a fast-paced delivery environment.
• Participate in technical design discussions, learning to break down problems and make sound technical decisions.
• Contribute to improving the reliability and performance of the systems your team owns.
• Grow your skills through code review, pairing with more experienced engineers, and engaging with new technologies including ML and LLMs.

What you bring to the role

Required

• 2-4 years of professional experience building web applications.
• Experience with at least one modern web framework or language (e.g., React, Ruby, Python, TypeScript) - we care more about your ability to pick up new tools than which ones you already know.
• Solid understanding of software engineering fundamentals: data structures, algorithms, design patterns, and testing practices.
• Experience with RESTful APIs and relational databases (e.g., MySQL, PostgreSQL).
• Familiarity with cloud infrastructure (AWS) and containerisation (Docker) - you've deployed services beyond your local machine.
• A bias for delivery - you care about getting features into users' hands, not just writing code.
• Curiosity and willingness to learn across disciplines, including ML and AI technologies.
• Strong collaboration skills and a team-first mindset.

Preferred

• Experience with both React/TypeScript and Ruby or Python.
• Experience with real-time communication patterns (SSE, WebSockets, streaming APIs).
• Experience with Kubernetes and CI/CD pipelines.
• Interest in or exposure to LLMs, prompt engineering, or AI/ML tooling.
• Experience with event-driven architectures (e.g., Kafka).
• Familiarity with agile development practices and iterative delivery.

Tech Stack

• Frontend: React, TypeScript.
• Backend: Ruby, Python.
• Infrastructure: AWS, Kubernetes, Docker.
• Data: S3, RDS MySQL, Snowflake (with dbt for transformations).
• ML pipelines: Metaflow.
• Heavy usage of LLM technology from multiple providers.