Trainee / Junior AI Engineer supporting real customer projects at WE BUILD AI. Working with AI applications including automation solutions and machine learning models in a hybrid environment.
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Hybrid Machine Learning Engineer II, AI/ML Infrastructure, GenAI Platforms
Posted last month
About the role
- Machine Learning Engineer II working on GenAI infrastructure for Zendesk. Collaborating with teams on AI deployments and focusing on ML systems and applications.
Responsibilities
- Contribute to the development of Zendesk’s LLM Proxy, enabling secure, cost-optimized access to multiple foundation models.
- Help develop and maintain benchmarking and A/B testing frameworks for measuring LLM performance, latency, and cost.
- Assist in building orchestration systems that enable multi-step, tool-using AI agents.
- Work closely with applied ML, product, and platform teams to ensure infrastructure meets product needs.
- Deliver well-tested, maintainable, and performant code ready for production deployment.
Requirements
- 2–4 years of hands-on experience developing and deploying ML systems or infrastructure.
- Familiarity with LLM applications, vector databases, or ML/AI infrastructure components.
- Exposure to AWS, GCP, or Azure; understanding of Kubernetes, Docker, or similar containerized environments.
- Proficiency in Python and familiarity with at least one other backend language (Java, Scala, Golang, or Ruby).
- Understanding of CI/CD workflows, testing frameworks, and software design principles.
- Ability to work effectively in cross-functional teams and take feedback constructively.
Benefits
- Full ownership of the projects you work on.
- Flexible working hours.
- Professional development funds.
- Comfortable office and a remote setup.
- Choice of your laptop and other equipment.
- Premium Medical Insurance as well as Private Life Assurance.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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