Senior Software Engineer (ai Copilot)

Zendesk Zendesk · Enterprise · Krakow, Poland

Senior Software Engineer to join the AI Copilot organization, a multi-million ARR product that puts AI directly into the hands of customer service agents and admins. The role involves delivering AI-powered product features at scale, owning end-to-end product features from design through production, and integrating ML-powered capabilities into the product.

What you'd actually do

  1. Own and deliver end-to-end product features - from technical design through implementation, testing, release, and iteration.
  2. Work closely with ML Scientists and ML Engineers to integrate ML-powered capabilities into the product as reliable, user-facing features.
  3. Contribute to technical design discussions and architecture decisions within your team, with growing influence across teams.
  4. Build and maintain scalable backend services, APIs, and integrations that support AI-powered product experiences.
  5. Collaborate with Product Management, Design, and other engineering teams to turn product requirements into well-scoped technical work.

Skills

Required

  • 5+ years of experience building and operating large-scale, Internet-facing applications.
  • Fluent in Python
  • 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.
  • Ability to work with uncertainty and the flexibility to pivot with changing priorities.
  • Comfort working in a team alongside ML engineers and scientists
  • Strong collaboration skills and a genuine desire to help the team succeed.

Nice to have

  • working proficiency in Ruby is a big plus.
  • Exposure to LLM integration patterns: prompt engineering, evaluation, monitoring, or multi-provider setups.
  • Experience with SQL and data infrastructure (Snowflake, dbt) - understanding data pipelines and transformations is valuable in our environment.
  • Experience with event-driven architectures (e.g., Kafka).
  • Familiarity with ML pipeline tooling (e.g. Metaflow) or ML frameworks.
  • Experience with iterative, metrics-driven product development (A/B testing, feature flags, incremental rollouts).

What the JD emphasized

  • track record of owning features end-to-end and delivering them to production with high quality

Other signals

  • AI Copilot is a multi-million ARR product
  • delivering AI-powered product features at Zendesk scale
  • integrate ML-powered capabilities into the product as reliable, user-facing features