Senior Machine Learning EngineerRabbit • Daerah Khusus Ibukota Jakarta, Jawa, Indonesia
Senior Machine Learning Engineer
Rabbit • Daerah Khusus Ibukota Jakarta, Jawa, Indonesia
2 hari yang lalu
Uraian Tugas5+ years in backend or applied ML engineering, with at least 1–2 years hands‑on with LLM APIs (OpenAI, Vertex AI, Anthropic) Strong Python skills and experience with frameworks such as LangChain, LlamaIndex, or Vertex AI Agents Understanding of structured output generation, function calling, and API tool integration Familiarity with GitHub Actions / REST APIs and CI / CD automation Experience building or deploying production LLM systems (not just prototypes) Bonus : knowledge of cloud cost management or GCP optimization concepts Ship real AI agents, not demos : Your work will go to production, managing real infrastructure for Fortune 500 companies. Define the category : We’re pioneering AI‑driven infrastructure automation. There’s no playbook. You’ll help write it through research, experimentation, and production deployments that push the boundaries of what LLMs can do. Technical freedom meets real impact : Experiment with the latest models (GPT‑4, Claude, Gemini), try new architectures, research novel approaches – and when something works, ship it. Your ideas have a direct path to production. Solve genuinely hard problems : Building autonomous agents that safely modify production infrastructure at scale, ensuring reliability while pushing automation boundaries. Learn at the cutting edge : Work with senior engineers who are as excited about AI’s potential as you are. Collaborate with data architects who understand the domain deeply. Level up faster than you thought possible.
Rabbit is a GCP cost-optimization and automation platform that helps enterprises make BigQuery and other GCP workloads truly cost‑efficient. We combine deep platform intelligence, automation, and generative AI to turn cost insights into action.
Role Overview
If you’re excited about AI, but tired of building demos — this is your role.
Rabbit is evolving into a proactive cost optimization platform — a system that doesn’t just recommend, but acts. We’re looking for a Senior LLM / Agentic Engineer to pioneer AI‑powered automation capabilities that help enterprises reduce cloud costs intelligently and safely.
The Opportunity
This is the frontier of LLM applications. Not chatbots. Not summaries. Real autonomous agents that analyze petabytes of cost data, identify optimization opportunities, and implement changes to production infrastructure. You’ll research, design, and implement LLM‑driven features that turn cost insights into automated actions — and you’ll do it first.
What You’ll Do
- Research, design, and implement AI‑powered features that deliver automated cost optimization capabilities.
- Build LLM‑driven systems that transform cost insights into intelligent, actionable recommendations.
- Develop safe and secure AI integration patterns that respect customer data boundaries and GCP security models.
- Collaborate with the Application Architect to embed AI capabilities into Rabbit’s backend architecture.
- Experiment with emerging AI technologies and techniques to solve complex cost optimization challenges.
- Ensure AI systems are accurate, reliable, and production‑ready.
- Continuously improve the effectiveness and safety of AI‑powered automation features.
What We’re Looking For
Why Join Rabbit
For AI engineers who want to build the future, not just talk about it.
Not for everyone. Perfect for you if :
You’re less interested in AI hype, more interested in AI reality. You want to build systems that work, not just impress at demos. You’re ready to pioneer something genuinely new.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Information Technology
Industries
Software Development
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