Senior Software Engineer – AI Copilot

🔥 5 hours ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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Zendesk

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

💼 Consulting

📣 Marketing

📦 Logistics

💰 Grant on 2019-09

Consulting • Marketing • Logistics

Zendesk is a company that provides a comprehensive suite of customer service and sales solutions. Their offerings include messaging, live chat, AI-driven automation, data privacy and protection, and an agent workspace, all designed to enhance customer experience and support operations. Their platform is designed to be flexible and scalable, catering to businesses of all sizes, including small enterprises, startups, and large corporations. Zendesk emphasizes the importance of integrated workflows and personalized customer interactions, leveraging customer data and AI to improve service efficiency. Additionally, they provide professional services, resources for training, and a strong emphasis on diversity, inclusion, and sustainability.

📋 Description

• Own and deliver end-to-end product features from technical design through implementation, testing, release, and iteration • Work with ML Scientists and ML Engineers to integrate ML-powered capabilities into reliable, user-facing features • Contribute to technical design discussions and architecture decisions • Build and maintain scalable backend services, APIs, and integrations supporting AI-powered product experiences • Collaborate with Product Management, Design, and engineering teams to translate product requirements into technical work • Improve system reliability, performance, and maintainability • Identify and address technical debt • Mentor junior engineers through code review, pairing, and knowledge sharing

🎯 Requirements

• 5+ years of experience building and operating large-scale, Internet-facing applications • Fluent in Ruby • Working proficiency in Python is a plus • Solid experience with distributed systems, RESTful APIs, and AWS cloud infrastructure • Experience with Docker, Kubernetes, and CI/CD practices • Track record of owning features end-to-end and delivering them to production with high quality • Ability to work with uncertainty and changing priorities • Ability to collaborate with ML engineers and scientists • Strong collaboration skills • Preferred: Experience with SQL and data infrastructure, including Snowflake and dbt • Preferred: Exposure to LLM integration patterns, including prompt engineering, evaluation, monitoring, or multi-provider setups • Preferred: Familiarity with ML pipeline tooling such as Metaflow or ML frameworks • Preferred: Experience with event-driven architectures such as Kafka • Preferred: Experience with A/B testing, feature flags, and incremental rollouts

🏖️ Benefits

• Hybrid way of working with flexibility to work remotely for part of the week • Inclusive workplace experience • Reasonable accommodations for applicants with disabilities and disabled veterans

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