Full-Stack AI Engineer (Backend-Leaning)

Pengiklan Anonim; Jakarta Selatan; On-site; IDR 156,240,000 - 223,200,000; Full time

Benefits offered by this job

Competitive salary

Production AI systems

Measurable output

Job summary

Pengiklan Anonim is hiring a Full-Stack AI Engineer with a backend focus to build and scale AI-powered digital employees for real-world tasks in a production environment. You will design backend orchestration, integrate with messaging and calendaring systems, and ensure reliability with idempotency, retries, and observability.

Strong knowledge of Node.js or Python and PostgreSQL is required. The role emphasizes building LLM-based agents, tool usage, memory/state management, and collaboration to

Qualifications

• Minimum 3 years of professional production backend experience.
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Responsibilities

• Design, develop, and maintain backend systems for AI agent orchestration, tool execution, task queues, scheduling, memory, and state management.

Skills

Node.js / Python

PostgreSQL

Async programming

Cloud deployment

TypeScript/React/Next.js

LLM/AI agents

AI agent concepts

AI-assisted tools

English proficiency

Problem solving

Education

Bachelor's degree in CS or related field

Tools

Claude Code

Codex

Cursor

Job description

Location: Jakarta, Indonesia
Work Arrangement: On-site
Employment Type: Full-time
Salary: IDR 14,000,000–20,000,000/month, depending on experience and capability

About the Company
We are building a digital employee team for North American real estate agents.

Our AI-powered digital employees operate through WhatsApp and are designed to perform real operational tasks, including tracking transaction deadlines, managing follow-ups, drafting property listings and social media content, and supporting administrative workflows.

We are looking for a Full-Stack AI Engineer with a strong backend focus to help design and develop the infrastructure powering these AI employees.

Key Responsibilities:

• Design, develop, and maintain backend systems supporting AI agent orchestration, tool execution, task queues, scheduling, memory, and state management.
• Build and maintain integrations with WhatsApp, calendars, email, MLS, and real estate transaction systems.
• Develop reliable production systems with appropriate idempotency, retry mechanisms, observability, and evaluation processes.
• Develop user-facing features and interfaces when required.
• Build and maintain LLM-based agents capable of handling real-world user interactions.
• Implement tool use, memory, state management, error handling, and other components required for reliable AI agents.
• Collaborate with the team to identify technical issues and continuously improve system reliability and performance.
• Utilize AI‑assisted development tools such as Claude Code, Codex, or Cursor to improve development efficiency and output.

Requirements:

• Minimum 3 years of professional experience in production backend engineering.
• Strong proficiency in Node.js or Python.
• Experience with PostgreSQL and relational database systems.
• Experience with asynchronous programming, task queues, and backend architecture.
• Experience with cloud deployment and production systems.
• Strong working knowledge of TypeScript, React, and/or Next.js.
• Experience developing and deploying LLM/AI agents used by real users.
• Understanding of AI agent concepts including tool use, memory, state management, and error handling.
• Regular experience using Claude Code, Codex, Cursor, or similar AI-assisted development tools.
• Good written and spoken English.
• Strong problem-solving and debugging skills.

Preferred Qualifications:

• Bachelor's degree in Computer Science or a related field, preferably from a leading university.
• Previous professional experience in an AI company or AI-focused environment.
• Experience building AI-powered products or production LLM applications.
• Experience working with third‑party APIs and complex system integrations.

What We Offer

• Competitive salary of IDR 14,000,000–20,000,000/month, depending on experience and technical capability.
• Opportunity to work directly on production AI systems.
• Opportunity to build AI agents that perform real-world tasks rather than simple chatbot or prompt-based applications.
• A highly technical environment focused on shipping meaningful products and measurable output.