About Mecka AI Mecka AI is building the data infrastructure layer for robotics and embodied AI. We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems. We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

We're hiring a Senior Full Stack Software Engineer based in Toronto to build and ship production web applications that power Mecka’s global operations. This role is for an action-oriented builder who has delivered production web applications, writes clean and maintainable code, and wants to take ownership of features end-to-end—across the frontend, backend, and operational integrations. You should be someone who actively leverages modern AI tools to move faster, debug efficiently, and expand your impact.

You'll work directly with operators, data teams, and senior engineers to turn operational requirements into reliable, intuitive software.

Build & Maintain: Develop web applications for data labeling, data capture, and country/operations management using React (JavaScript / TypeScript) and modern frameworks (e.g., js). User-Centric UX: Design clean, fast, and intuitive interfaces for non-technical users and international teams operating under real-world conditions.

Services & APIs: Build and iterate on backend services using Node.js (Express/Fastify) and/or Python (FastAPI/Django) .

Operational Logic: Work with core business logic handling permissions, retries, data integrity, and background workflows for data-heavy operations.



Practical AI Integrations Integrate AI capabilities into internal tools where they add real value (e.g., automated data validation, normalization, workflow triggers, search, and internal tooling). End-to-End Delivery: Take features from design and implementation through testing and deployment.

Monitor, debug, and improve performance and reliability in production. Balance speed, code cleanliness, and correctness with guidance from senior engineering leadership. 5-7 years of professional experience building and maintaining full-stack web applications in production environments. ~ Solid Frontend Skills: Proficiency in JavaScript / TypeScript , React , and modern web frameworks. ~ Solid Backend Skills: Hands-on experience developing REST/GraphQL APIs with Node.js and/or Python . ~ Database & Data Basics: Practical experience working with relational databases (e.g., PostgreSQL) and ORMs. ~ AI Tooling as a Force Multiplier: Active daily use of AI development tools (Cursor, Copilot, Claude, etc.) Ability to work across the stack to ship features and troubleshoot issues independently.

Experience building internal tools, dashboards, or workflow-heavy applications . Comfort working alongside non-technical stakeholders (operations, product, leadership) to clarify feature requirements. Exposure to cloud environments (AWS, GCP,



or Azure) and standard deployment pipelines (CI/CD, Docker).

Basic experience or strong curiosity regarding AI/LLM API integrations (e.g., Experience with data pipelines, ETL workflows, or handling data-intensive operations. Familiarity with mobile development (React Native) or design systems.

Why Join

Mecka AI? Build foundational tools that directly power global robotics and embodied AI operations.

Accelerated Growth: Work closely with experienced founders and senior engineers in a high-trust, rapid-paced environment. Solve challenging software problems tied directly to hardware, data, and global operations. Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%.

We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Use of Artificial Intelligence in Recruitment Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows.

While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience.

📌 Full stack senior software developer (Toronto)
🏢 Mecka.Ai
📍 Toronto