Location: Fully remote, EMEA / flexible timezone
Start date: ASAP
Languages: Fluent English is mandatory
Industry: AI / Data Infrastructure / B2B SaaS
About the Company
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.
Your Responsibilities
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 You Bring
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
Why This Role Will Pivot Your Career
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 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.
