Software Engineer II (Fullstack) (AI)

TL;DR

Software Engineer II (Fullstack) (AI): Developing end-to-end AI-powered product features for customer service agents and administrators with an accent on React/TypeScript interfaces and Ruby/Python backend services. Focus on building conversational AI experiences, integrating LLMs, and maintaining scalable backend APIs.

Location: Hybrid in Lisbon, Portugal (must attend local office for part of the week)

Company

A global customer experience software company helping businesses build rich, meaningful relationships with their customers.

What you will do

• Deliver product features end-to-end, from frontend UI through backend services, testing, and release.
• Build and maintain React/TypeScript user interfaces for AI-powered conversational experiences.
• Develop and maintain backend services, APIs, and integrations that power the AI Copilot product.
• Collaborate with ML engineers and scientists to build and maintain AI-powered product experiences at scale.
• Write clean, well-tested, and maintainable code in a fast-paced delivery environment.
• Participate in technical design discussions to solve complex problems and improve system reliability.

Requirements

• 2-4 years of professional experience building web applications.
• Proficiency in at least one modern web framework or language (e.g., React, Ruby, Python, TypeScript).
• Solid understanding of software engineering fundamentals, data structures, and algorithms.
• Experience with RESTful APIs and relational databases such as MySQL or PostgreSQL.
• Familiarity with AWS and Docker for deploying services.
• Must be based in Portugal to fulfill the hybrid office attendance requirement.

Nice to have

• Experience with both React/TypeScript and Ruby or Python.
• Knowledge of real-time communication patterns (SSE, WebSockets, streaming APIs).
• Experience with Kubernetes, CI/CD pipelines, and event-driven architectures like Kafka.
• Interest in or exposure to LLMs, prompt engineering, or AI/ML tooling.

Culture & Benefits

• Hybrid work model combining onsite collaboration in Lisbon with remote flexibility.
• "Ship to learn" philosophy focusing on early delivery and iterative improvement based on feedback.
• Opportunity to work with cutting-edge LLM technology and ML pipelines at a global scale.
• Inclusive, positive, and down-to-earth corporate culture.