mecka.ai · Toronto GTA
Skills: React, TypeScript, Python, SQL, MongoDB, AWS, GraphQL, CI/CD
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 Software Engineers who own problems end to end — not a single layer of the stack. You'll ship production software that powers Mecka's data platform and the tools our operators, researchers, and customers use every day: web apps, APIs, internal products, and the plumbing underneath. This is a builder seat for engineers with roughly 3–7 years of experience. Ideal backgrounds are SaaS product engineering and startup/scale-up environments where you scoped ruthlessly, shipped v1s, and owned features in production. You'll turn fuzzy requirements into reliable, usable software. You'll land on a focus area based on strength and business need (see Nice to haves). Breadth, product sense, and ownership matter more than matching every bullet. WHAT YOU'LL BE DOING: - Ship end to end. Take features from design through implementation, testing, and production — frontend, backend, and the integrations between them. - Build tools people use. Internal products, dashboards, and workflow apps for labeling, capture, delivery, QA, and ops — interfaces that are fast and clear for non-technical users. - Own services and APIs. Backend services with correct permissions, retries, data integrity, observability, and background workflows for data-heavy operations. - Work close to the data. Help package, validate, index, and serve large video/sensor datasets so labeling, QA, research, and customer delivery stay reliable. - Automate the manual. Replace spreadsheet-heavy or one-off scripts with durable tools and processes alongside the teams who live in those work…
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