Median Rp7 jt/bulan · rentang umum Rp5,3 jt – Rp8,3 jt
Berdasarkan 205 lowongan Frontend Development se-Indonesia (semua level).
Lihat data gaji selengkapnya →We are looking for an AI Engineer Lead: a hands-on engineer who spends most of their time building software with AI, and who also guides a group of developers on technical work.
Reporting to the Technical Manager, you will design and build software every day, using AI across the development lifecycle to deliver faster and at higher quality. Team support: guiding Backend and Frontend developers, coordinating with the Mobile team, working with the Technical Architect, Business Analysts, QC Engineers, and UI/UX Designer, and sharing AI practices with Moniva's existing teams.
The ideal candidate is a strong developer who leads by example through code and turns personal AI expertise into practices that the team adopts.
Apply AI to the fullest across the software development lifecycle: AI-assisted coding, AI agents, design and planning, testing, debugging, code review, and documentation.
Guide and mentor Backend and Frontend developers through code reviews and pairing, and coordinate with the Mobile team on technical alignment, and work with the Technical Architect, Business Analysts, QC Engineers, and UI/UX Designer to deliver quality products.
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Take ownership of technical quality and delivery for the team's work: help plan tasks, estimate effort, and track progress.
Share AI knowledge and coach Moniva's current teams (Backend, Frontend, Mobile, and others) through hands-on sessions, pair work, and documentation.
Identify opportunities to apply AI in other business functions and run small-scale trials, assessing results by time saved, output quality, or cost.
At least 6 years of software development experience.
Strong hands-on programming skills in at least one relevant technology stack (e.g., Java, Golang, Rust, Node.js, ReactJS, or React Native), with the ability to build features independently and review code across teams.
Hands-on experience applying AI deeply in software development (AI coding assistants, agents, or automation), with concrete results in productivity, code quality, or efficiency.