You will be a founding full stack engineer building scalable AI-native data infrastructure for a startup that provides real-world training data to AI companies. The role involves designing backend services, frontend interfaces, and AI-powered pipelines for multimodal datasets at global scale.
What You'll Do
- 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
What We're Looking For
- 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
Technical Stack
FastAPI, React, Python, PostgreSQL, SQL, Celery, RQ, SQS, S3-compatible object storage, Docker, REST API, AI tools (Cursor, Copilot, Claude)
Team & Environment
Join an early-stage startup team with a fast-moving, product-driven culture. You'll report directly to the founders and help shape technical direction and product strategy.
Benefits & Compensation
- Build end-to-end systems 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
Work Mode
Global role with team members in EMEA; flexible timezone arrangements supported.
Pragmatike is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.
