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Mecka AI is building the data infrastructure layer for robotics and embodied AI. The company designs and operates 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.
You will build and ship production web applications that power Mecka's global operations. This is a role 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 will work directly with operators, data teams, and senior engineers to turn operational requirements into reliable, intuitive software.
Key responsibilities include:
- Develop web applications for data labeling, data capture, and country/operations management using React (JavaScript/TypeScript) and modern frameworks such as Next.js.
- Design clean, fast, and intuitive interfaces for non-technical users and international teams operating under real-world conditions.
- Build and iterate on backend services using Node.js (Express/Fastify) and/or Python (FastAPI/Django).
- Work with core business logic handling permissions, retries, data integrity, and background workflows for data-heavy operations.
- Integrate AI capabilities into internal tools where they add real value (e.g., automated data validation, normalization, workflow triggers, search, and internal tooling).
- Work with prompt-based systems and structured LLM integrations alongside research and operations teams.
- 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.
You will have high impact building foundational tools that directly power global robotics and embodied AI operations, accelerated growth working closely with experienced founders and senior engineers in a high-trust, fast-paced environment, and real-world execution solving challenging software problems tied directly to hardware, data, and global operations.
REQUIREMENTS:
- 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.
- Active daily use of AI development tools (Cursor, Copilot, Claude, etc.) to prototype faster, debug code, and increase productivity.
- 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.
PREFERRED:
- 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.
