Key Evaluation Criteria: ① Proficient, independent coding in primary language ② Disciplined, efficient use of AI coding tools to boost productivity while ensuring code correctness and stability. No advanced AI/model R&D experience required (proficient) and consistent use of AI tools is mandatory.
Email your CV + portfolio / sample work to enquiries@manpowergrc.hk for application.
All work follows formal written specifications; ambiguities must be raised for clarification—no guessing.
Key Responsibilities:
Build and maintain REST backends and APIs per approved specs
Build end-to-end data pipelines (CSV / Excel / PDF → Postgres / MongoDB)
Provide bug fixes, hotfixes, and routine maintenance for live services
Execute scoped deployment integration tasks (pre-approved by core team)
Handle prioritized backend tasks from a shared queue across multiple technical domains
Break down tasks and craft precise prompts for AI tools; manually review and fix all AI-generated code before commit
Follow standard Git workflow (branching, MRs, rebasing, conflict resolution); write clear MR descriptions and sync progress async
Mandatory Requirements:
Deep proficiency in one primary language: TypeScript, Rust, or Python (depth over breadth; Python candidates must have experience with Pydantic or similar for typed, modular code)
Hands-on experience with Postgres (SQL) or MongoDB
Daily use of mainstream AI coding tools (Claude Code, OpenAI Codex CLI, Kimi CLI, Tongyi Qianwen, GLM CLI, Cursor, Cline, etc.); able to clearly explain task decomposition, prompt engineering, manual review workflow, and scenarios requiring line-by-line code inspection
Can solve basic programming problems independently without AI (data structures, text parsing, control flow)—tested during interviews
Proficient with Git (branching, MRs, rebasing, merge conflict handling)
Basic English reading/writing skills (read technical docs, write detailed MR descriptions, sync progress, handle basic interview communication; no speaking fluency required, no client interaction)
Interview Process:
Screening: Resume + project portfolio review (GitHub links, MR records, or walkthroughs); explain tech stack and AI workflow using 2–3 shipped projects
No-AI Coding Test: Timed hands-on coding, no AI tools allowed, using your primary language
AI-Assisted Practical Assessment: Complete a real backend task with full access to AI tools; walk interviewer through prompt design, manual review steps, and code review/optimization
Paid Trial: Complete 1–2 low-difficulty live tasks within a set timeframe—full trial compensation paid regardless of final delivery outcome
Type: Contract
Category: I.T & T - Program & Project Management
Reference ID: 100-06072026-DC
Date Posted: 06/07/2026
