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# Senior Software Engineer - AI Copilot (Backend)

- **Company:** Zendesk
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Code Review, Continuous Integration, Data Infrastructure, Distributed Systems, Python (Programming Language), MySQL, Tensorflow, Ruby, SQL Databases, Systems Integration, Snowflake, Prompt Engineering, Technical Debt, Backend, Event Driven Architecture, Kubernetes, Apache Kafka, Machine Learning Operations, Restful APIs, Zendesk, Data Pipelines, Docker, AI Co-pilot
- **Published:** November 12, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pyvx2trgig

## About the Role

* 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.
 * Ability to work with uncertainty and the flexibility to pivot with changing priorities.
 * Comfort working in a team alongside ML engineers and scientists - you don't need to be an ML expert, but you should be curious and able to collaborate effectively across disciplines.
 * Strong collaboration skills and a genuine desire to help the team succeed.

Preferred

 * Experience with SQL and data infrastructure (Snowflake, dbt) - understanding data pipelines and transformations is valuable in our environment.
 * 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).

Tech Stack

 * Our code is written in Ruby and Python
 * Our servers live in AWS
 * Our ML pipelines use Metaflow
 * Our data is stored in S3, RDS MySQL, and Snowflake (with dbt for transformations)
 * Our services and models are deployed to Kubernetes using Docker

## Description

* 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, with growing influence across teams.
 * 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 - proactively identifying and addressing technical debt.
 * Mentor more junior engineers through code review, pairing, and knowledge sharing.