Architect / Tech Lead

Assignment description:

Our Customer is building next-generation products for maths learning across both home and school environments. They are developing a greenfield, adaptive learning platform for kids aged 7–12. Built alongside their flagship product, this from-scratch initiative leverages data and AI to personalize study flows, adjust learning speeds, and deliver tailored educational challenges.

As an Architect / Tech Lead, you will own the core architecture across web, mobile, and backend surfaces while setting technical direction alongside full-stack engineers and reporting directly to the COO/CTO. Architecture & Direction:

- Own core architectural decisions for a multi-surface platform and set engineering standards across the stack.

Learner Signal Engineering:

- Build, capture, and tune Python-based pipelines and adaptive algorithms that transform raw interaction data into personalized learning paths.

AI Workflow Integration:

- Hands-on setup and management of AWS/cloud infrastructure optimized for AI workflows, establishing best practices for agentic software development.

Collaborative Execution:

- Work closely with the engineering team to direct implementation, review code, and maintain high technical quality.

About the team:

You will join a flat, highly autonomous product team with no management layers. The role is purely product-development focused, not focused on people management, giving you direct influence over long-term technical decisions.

Must haves:

- Deep experience architecting modern TypeScript systems at a senior/staff level.

- Strong Python skills focused on data processing and analysis.

- Direct experience with learner signal engineering, adaptive algorithms, or parameter tuning for personalization.

- Substantial hands-on experience using AI-agentic development workflows as a primary mode of engineering.

- Practical experience configuring AWS/cloud environments for AI workflows.

Other requirements:

- Strong verbal and written English communication skills for clear, proactive technical collaboration.

- Pragmatic mindset—focusing on shipping simple, robust solutions and practical user value over over-engineering.

- Product-first mindset with a clear preference for hands-on execution over administrative management.

- High autonomy and self-direction suitable for an engineering environment without traditional management layers.

- Sound technical judgment to establish where AI agent implementation ends and human code review is non-negotiable.

About the customer:

Our Customer is building next-generation products for maths learning across both home and school environments. They are developing a greenfield, adaptive learning platform for kids aged 7–12. Built alongside their flagship product, this from-scratch initiative leverages data and AI to personalize study flows, adjust learning speeds, and deliver tailored educational challenges.

Industries:

Education