R&D Engineer

R&D Engineer

Role Overview

LocoBike is seeking a R&D Engineer with strong full-stack capabilities and a solid

understanding of mobile application systems (iOS & Android) to support our

smart-mobility platform and applied research initiatives.

This role is for engineers who use AI coding agents as a force multiplier, not a

substitute for thinking. You will be expected to design systems, make

architectural decisions, and take full ownership of code quality while leveraging AI

tools to deliver high-quality, maintainable, and well-reasoned solutions.

The position combines mobile systems, backend services, and research

oriented programming, working closely with product, operations, and research

stakeholders.

Key Responsibilities

Design and develop end-to-end systems across mobile applications (iOS & Android)

Android), backend services, APIs, and data layers

Take ownership of system architecture, including component boundaries, data

flow, and client–server responsibilities

Collaborate with cross-functional teams to translate real-world operational and

research requirements into scalable technical solutions

R&D Engineer1

Build and maintain backend services and integrations supporting LocoBikeʼs

core mobility and operations platforms

Work closely with mobile apps, understanding performance, latency, reliability,

and real-world usage constraints

Use Python to support R&D activities, including:

Data processing and analysis

Algorithm prototyping and experimentation

Supporting research validation and technical documentation

Leverage AI coding agents to accelerate development while:

Clearly defining problems and constraints

Critically reviewing and validating generated code

Ensuring correctness, performance, and maintainability

Review AI-assisted outputs with a strong verification mindset, considering

edge cases, failure modes, and long-term implications

Continuously improve system design, code quality, and development

workflows

R&D Engineer2

Experience designing and consuming RESTful APIs and working with

databases

Familiarity with AI coding agents and a demonstrated ability to:

Frame problems clearly before generating code

Evaluate, refine, and take ownership of AI-assisted outputs

Use AI to improve quality, not just speed

Strong architectural thinking, with the ability to reason about trade-offs,

constraints, and system boundaries

High sense of ownership, accountability, and responsibility for production

quality systems

Requirement:

Bachelorʼs degree or above in Computer Science, Engineering, Data Science,

or a related discipline; Masterʼs degree or PhD preferred.

Technical & Mindset Requirements

Strong understanding of full-stack system architecture, including mobile

frontend, backend services, and data layers

Hands-on experience working with iOS and/or Android applications (native or

cross-platform frameworks such as Flutter or React Native are acceptable)

Backend development experience (e.g. Node.js, PHP, Python, or equivalent)