Automation Engineer

Company Description

Proto Fine is an AI research lab focused on cognitive intelligence systems. It builds technology that adds automated decision logic and adaptive intelligence to businesses and their products. The current focus is Fine.APIs, a unified cognitive automation layer for enterprise systems. Proto Fine is incubated at T-Hub.

Role Description

This role focuses on building automation logic, system workflows, and scalable backend components for Fine.APIs. The engineer will work across integration, data processing, and decision-automation layers. Responsibilities include designing stable automation pipelines, developing reusable modules, and ensuring reliability across cognitive workflows. The position requires strong ownership, ability to handle multi-domain tasks, and readiness to work in a fast-moving R&D environment.

Qualifications

• Strong foundations in computer science, algorithms, and system design

• Proficiency in Python, Node.js, or Go for backend and automation logic

• Experience with APIs, integration workflows, and event-driven architectures

• Ability to design modular, scalable automation pipelines

• Familiarity with cloud environments (AWS or GCP) and basic DevOps practices

• Understanding of data processing, logging systems, and workflow orchestration

• Ability to handle multi-domain responsibilities with high ownership

• Strong debugging, optimisation, and documentation discipline

• Prior experience in fast-paced R&D or startup environments is preferred

Key Responsibilities

• Develop and maintain integration pipelines across internal and external systems

• Implement event-driven modules and decision-automation components

• Optimise data processing flows, logging frameworks, and orchestration logic

• Write clean, modular, and scalable backend code

• Ensure stability, performance, and fault-tolerance across automation layers

• Collaborate with product, data, and cognitive-systems teams to align workflows

• Conduct rigorous testing, debugging, and documentation for all implemented modules

• Take full ownership of tasks end-to-end in a fast-moving R&D environment