Senior Full Stack Software Developer
mecka.ai · Toronto GTA ·
- Work mode
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Category
- Fullstack
- Experience
- 5+ years
- Salary
- CAD 165,000 – 200,000 / year
mecka.ai · Toronto GTA ·
Mecka · Toronto, Canada
Kindredventures · Toronto, Canada
Mecka · Toronto, Canada
Senior full-stack engineer in Toronto building production web apps that power Mecka AI's global robotics data operations — tools for data labeling, data capture, and operations management. Stack: React/TypeScript with Next.js frontend, Node.js or Python (Express/Fastify/FastAPI/Django) backends, PostgreSQL, plus practical AI/LLM integrations.
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., Next.js).
User-Centric UX: Design clean, fast, and intuitive interfaces for non-technical users and international teams operating under real-world conditions.
Backend Systems & APIs
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
Feature Development: Integrate AI capabilities into internal tools where they add real value (e.g., automated data validation, normalization, workflow triggers, search, and internal tooling).
Tooling & Workflows: Work with prompt-based systems and structured LLM integrations alongside our research and ops teams.
Feature Ownership & Execution
End-to-End Delivery: Take features from design and implementation through testing and deployment.
Production Support: Monitor, debug, and improve performance and reliability in production.
Pragmatic Mindset: 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.) to prototype faster, debug code, and increase productivity.
End-to-End Execution: 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.
Good instincts for keeping solutions simple and maintainable rather than over-engineering.
Strong team player who communicates clearly, accepts feedback, and enjoys continuous learning.
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., prompt engineering, document extraction, vector search).
Experience with data pipelines, ETL workflows, or handling data-intensive operations.
Prior experience in consulting, client-facing roles, or fast-paced startup environments.
Familiarity with mobile development (React Native) or design systems.
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%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. 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. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
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. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. 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. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
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