Senior Software Engineer (AI Copilot)

TL;DR

Senior Software Engineer (AI Copilot): Delivering AI-powered product features at hirify.global scale, taking ownership of significant pieces of work from design through to production with an accent on integrating ML-powered capabilities into the product as reliable, user-facing features. Focus on improving the reliability, performance, and maintainability of the systems.

Location: Lisbon, Portugal or Remote in Portugal. This role must attend our local office for part of the week.

Company

hirify.global software was built to bring a sense of calm to the chaotic world of customer service.

What you will do

• Own and deliver end-to-end product features — from technical design through implementation, testing, release, and iteration.
• Work closely with ML Scientists and ML Engineers to integrate ML-powered capabilities into the product as reliable, user-facing features.
• Contribute to technical design discussions and architecture decisions within your team.
• Build and maintain scalable backend services, APIs, and integrations that support AI-powered product experiences.
• Collaborate with Product Management, Design, and other engineering teams to turn product requirements into well-scoped technical work.
• Improve the reliability, performance, and maintainability of the systems you work on.

Requirements

• 5+ years of experience building and operating large-scale, Internet-facing applications.
• Fluent in Ruby; working proficiency in Python is a big plus.
• Solid experience with distributed systems, RESTful APIs, and cloud infrastructure (AWS).
• Experience with containerised deployments (Docker, Kubernetes) and CI/CD practices.
• A track record of owning features end-to-end and delivering them to production with high quality.
• Strong collaboration skills and a genuine desire to help the team succeed.

Nice to have

• Experience with SQL and data infrastructure (Snowflake, dbt).
• Exposure to LLM integration patterns: prompt engineering, evaluation, monitoring, or multi-provider setups.
• Familiarity with ML pipeline tooling (e.g., Metaflow) or ML frameworks.
• Experience with event-driven architectures (e.g., Kafka).
• Experience with iterative, metrics-driven product development (A/B testing, feature flags, incremental rollouts).

Culture & Benefits

• Hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week.
• hirify.global software was built to bring a sense of calm to the chaotic world of customer service.
• hirify.global believes in offering our people a fulfilling and inclusive experience.