Founding Full Stack AI Engineer

• Design and maintain FastAPI backend services powering the data collection and delivery pipeline
• Build and iterate React interfaces for internal teams, contributors, and clients
• Architect AI-powered pipelines for quality assurance, classification, and dataset delivery
• Own end-to-end feature delivery: backend logic, database schema, frontend interface, deployment
• Ensure reliability, performance, and observability of async data processing pipelines
• Collaborate closely with ML engineers, DevOps, and the data team to integrate AI systems into production
• Set standards and best practices for AI-augmented engineering workflows
• Contribute to internal tooling that accelerates team velocity and maintains production-grade quality

• 3+ years of professional full stack engineering experience in production environments
• Strong Python skills and hands-on experience building production APIs with FastAPI
• Solid React experience, shipping real products to real users
• Deep command of SQL, including query optimization, indexing, partitioning, and connection pooling
• Hands-on PostgreSQL experience at scale
• Experience with background task processing systems (Celery, RQ, SQS, or equivalent)
• Familiarity with S3-compatible object storage, Docker, and REST API design principles
• AI-native development workflow - you use AI tools (Cursor, Copilot, Claude) daily, know how to prompt, iterate, verify, and catch errors
• Experience building AI-integrated systems, pipelines, and production features for model training
• Ownership mindset - you ship fast, iterate, and care about code quality

Nice to Have

• Experience scaling global data infrastructure or contributor networks
• Experience with multimodal datasets (audio, image, video)
• Prior early-stage / founding team experience
• Exposure to high-volume, performance-critical systems
• Experience integrating AI pipelines into production workflows

This is a founding engineer role at the intersection of full stack engineering and AI infrastructure. You will:

• Build end-to-end systems that are used by top AI labs and tech companies globally
• Work directly with founders shaping product, architecture, and technical strategy
• Own mission-critical AI-powered pipelines for massive, real-world datasets
• Gain rare early-stage experience, making high-impact decisions that define the trajectory of the company
• Master AI-augmented development workflows, integrating cutting-edge AI into production-grade software
• Take on responsibilities far beyond typical senior roles - your work will be visible, high-stakes, and career-defining

Pragmatike is recruiting on behalf of an early-stage startup building a distributed AI data infrastructure platform. The company provides real-world training data to AI companies through a global network of 500,000+ contributors across 150+ countries and 100+ languages. The startup owns the full end-to-end pipeline: collection, automated processing, human-in-the-loop QA, and delivery to top-tier AI labs and technology companies. The focus is on building scalable, AI-native pipelines capable of delivering multimodal datasets-audio, image, video, and structured data-at global scale. The product is operational and validated. The current priority is scaling the infrastructure, improving AI-powered QA pipelines, and building reliable contributor and client-facing platforms. The team is fast-moving, product-driven, and values high ownership and technical excellence.