Senior LLM Engineer

Aliz Technologies; Daerah Khusus Ibukota Jakarta; On-site; IDR 1.169.981.000 - 1.671.403.000; Full time

Job summary

A leading technology firm in Jakarta seeks a Senior LLM / Agentic Engineer to drive AI-powered automation in cost optimization. You will design and implement intelligent systems that autonomously optimize cloud infrastructure. Ideal candidates have 5+ years in backend or applied ML engineering and experience with LLM APIs. Join a world-class team making a real impact in AI. Competitive salary and innovative workspace await you.

Benefits

Competitive salary

Work with cutting-edge technologies

Collaborative environment with industry experts

Qualifications

• 5+ years in backend or applied ML engineering.
• 1–2 years hands-on with LLM APIs.
• Experience building or deploying production LLM systems.

Responsibilities

• Research, design, and implement AI-powered features for cost-optimization.
• Build LLM-driven systems for cost insights.
• Ensure accuracy and reliability of AI systems.

Skills

Backend or applied ML engineering

Python skills

LLM APIs experience

GitHub Actions

REST APIs

Tools

LangChain

LlamaIndex

Vertex AI Agents

Job description

Aliz was founded by a group of driven software engineers with one vision in mind: Build a human‑centered company to solve exciting business challenges with cutting‑edge technologies all around the globe.

Our team includes engineers, industry experts, and digital professionals who ensure our clients are ready to face the challenges of the ever‑changing digital world.

Aliz is a proud Google Cloud Partner with specializations in Infrastructure, Data Analytics, Cloud Migration, and Machine Learning. We deliver end‑to‑end cloud solutions, including infrastructure, data analytics, ML, and application development, off the shelf or custom‑built on GCP using an Agile, holistic approach.

Life has been pretty exciting at Aliz recently. We dealt with the Covid crisis and became even stronger financially and team‑wise. We became Google Cloud’s Breakthrough Partner of the Year in APAC (2019), built teams in Singapore and Berlin, opened an engineering hub in Jakarta, launched a business in Italy, Qatar, and started to support IT education.

You couldn’t pick a better time to join this world‑class team of cloud experts.

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.

The Challenge: AI has the potential to transform how infrastructure is managed, but most companies are still figuring out how to use LLMs beyond chatbots. We’re building truly agentic systems that autonomously optimize cloud infrastructure — safely, intelligently, and at scale.

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.

In our startup environment, you’re not just implementing someone else’s AI strategy — you’re inventing it. Your experiments with prompt engineering, function calling, and agent architectures will directly shape the product. If you’re ambitious, curious about AI’s potential, and ready to push beyond what’s been done before, this is where you belong.

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

• 5+ 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

Why Join Rabbit

For AI engineers who want to build the future, not just talk about it:

• Ship real AI agents, not demos: Your work will go to production, managing real infrastructure for Fortune 500 companies. No more “this is just a prototype”—you’ll build production‑grade agentic systems that customers trust with their infrastructure
• 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 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—these are challenges worthy of your best work
• 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

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.