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 workflows.

- Iterate with users. Get a v1 in front of operators and stakeholders quickly; harden what proves out.

Who you are:

- 3–7 years building and shipping production software (or equivalent impact), ideally in SaaS and startup / scale‑up environments.

- Comfortable owning a feature across the stack — up-to-date frontend (e.g. TypeScript/React) and at least one backend language (e.g. Python, Node, Go).

- Strong product sense and a bias to ship: scope ruthlessly, put work in users' hands, iterate.

- Design and build high‑throughput services upload/ingest huge amounts of data, processing, indexing, retrieval, and access control.

- Practical experience with databases (e.g. SQL/PostgreSQL, MongoDB) and production APIs (REST/GraphQL).

- Ownership of systems in production: monitoring, debugging,



and root‑cause fixes — not just greenfield demos.

- Clear communication with non‑technical partners (ops, product, finance, delivery).

Even better if you bring:

Lean into one or more of these — they map to how the current openings differ. Strong fit in any one area is enough; you don't need all of them.

- Internal products / 0→1 delivery tooling: dataset review & QA UIs, delivery‑tracking dashboards, export/validation workflows for ego‑data deliveries to AI labs.

- Full‑stack ops applications: labeling, capture, and country/ops management apps; clean UX for international, non‑technical teams.

- Web & media / SDK: viewers and players for egocentric capture (multi‑stream playback, timeline sync, large‑media performance); API/SDK design for hardware and data consumers.

- Data platform backend: high‑throughput ingest, processing, indexing, and serving of large video/sensor datasets; reliability, cost, and observability at scale.

- Payments & revenue systems:payouts, payment orchestration, reconciliation, invoicing, and finance tooling where correctness and auditability matter.

- AI as a force multiplier: daily use of AI coding tools; practical LLM integrations in internal tooling (validation, search, workflow triggers).

- Early/founding engineer experience, video/media systems, cloud (AWS/GCP/Azure) + CI/CD, or fintech/transactional backends.

Why Mecka

- Real surface area from day one on problems that are still greenfield.

- Direct impact across delivery, operations, research, and the frontie

📌 Software Engineer (Toronto)
🏢 mecka
📍 Toronto