Join Mecka AI as a Senior Full Stack Software Developer to build and ship production web applications for robotics and AI.
Posted by employer 2 weeks ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
Must have
Nice to have
AI in the day-to-day
Active daily use of AI development tools (Cursor, Copilot, Claude, etc.) to prototype faster, debug code, and increase productivity.
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Full Stack Software Developer at Mecka AI is responsible for building and maintaining production web applications that support the company's data infrastructure for robotics and AI. The position requires proficiency in JavaScript, TypeScript, React for frontend development, and Node.js or Python for backend services, alongside experience with relational databases. Ideal candidates have 5-7 years of experience in full-stack development and a collaborative mindset, as they will work closely with non-technical stakeholders to deliver user-friendly solutions. Mecka AI emphasizes a pragmatic approach to software development, integrating AI tools to enhance productivity.
Joblaze insights
Quick facts
From the original posting
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.
Standard company text repeated across Mecka AI's postings is omitted here.