Senior AI Engineer

🕒 vor 21 Tagen

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Lebenslauf hochladen

GitLab

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2014

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

💰 Secondary Market im 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab ist eine vollständige DevOps-Plattform, bereitgestellt als eine einzige Anwendung, die die Art und Weise, wie Development-, Security- und Ops-Teams zusammenarbeiten und Software entwickeln, grundlegend verändert. Von der Idee bis zur Produktion hilft GitLab Teams, die Durchlaufzeit von Wochen auf Minuten zu verkürzen, Entwicklungskosten und Time-to-Market zu senken und gleichzeitig die Developer-Produktivität zu steigern.

Beschreibung

• Diagnose business problems before building solutions • Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration • Design, develop, and ship AI-powered solutions quickly • Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput • Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms • Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible • Partner closely with stakeholders across functions to understand the real constraints • Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable • Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations

🎯 Anforderungen

• A Technologist at Heart - genuinely invested in technology, the foundational and the cutting-edge in equal measure • Competent, Confident Coding Skills - can build working solutions end-to-end, write clean and maintainable code, and debug effectively • AI & LLM Technical Depth - strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns • Model selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window • Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns • AI Safety & Risk Awareness - think critically about how the solutions you build could be exploited, misused, or produce unintended consequences • Systems Thinking & Diagnostic Rigour - the ability to look at a complex process and see the constraint • Business System Expertise - familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk) • Broad Functional Understanding - ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs • End-to-End Ownership - track record of owning complex initiatives from discovery through delivery • Product Mindset - ability to scope MVPs, prioritise ruthlessly, and deliver iteratively

🏖️ Vorteile

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave