🛠 Tech Stack

💼 About This Role

You'll embed with strategic customers to design, build, and deploy AI and data systems on Shakudo's platform. You'll own the end-to-end path from discovery to production, turning business problems into measurable outcomes. This role combines deep technical work with customer-facing impact, offering a chance to work on production AI systems in complex enterprise environments.

🎯 What You'll Do

• Embed with customer teams to understand business problems and success metrics.
• Design and implement production data workflows across enterprise environments.
• Deploy and operate Shakudo in complex customer environments.
• Participate in PagerDuty-based production support and incident response.

📋 Requirements

• 8+ years of experience across software, data, platform, or AI engineering.
• 3+ years building LLM/AI applications such as RAG, agents, or evaluations.
• 5+ years working with Kubernetes and cloud-native infrastructure.
• Strong data engineering background with modern data stack (Spark, Airflow, etc.).

✨ Nice to Have

• Experience in forward deployed or customer engineering roles.
• Experience with on-prem, private cloud, or air-gapped deployments.
• Ability to identify repeatable product opportunities from customer implementations.

🎁 Benefits & Perks

• 💰 Competitive salary and meaningful equity.
• 🏥 Top-tier health benefits fully covered.
• 👶 16+ weeks pregnancy leave top-up.
• 🏖️ Flexible vacation policy.
• 🍿 Welcoming office with snacks and team outings.

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3On-site Interviews· 4 hours

🚩 Heads Up

• Onsite requirement may limit candidate pool.
• High travel expectation (customer sites) not explicitly quantified.
• PagerDuty production support may lead to on-call burnout.