Founding Full Stack AI Engineer
📍 Warszawa⭐ Nieznany📄 other
Widełki nieujawnione
🗂 Szczegóły oferty
LokalizacjaWarszawa
Tryb pracy—
Etat—
DoświadczenieNieznany
Min. lat doświadczenia3+
Typ kontraktuOther
Kategoriait
📝 Opis główny / Wstęp
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
This is a founding engineer role at the intersection of full stack engineering and AI infrastructure. You will:
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
- 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
- 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
📡 Metadata statystyk
Źródłolinkedin
Slug / IDwarszawa-founding-full-stack-ai-engineer-pragmatike-602b22
Opublikowano26 marca 2026
Wygasa—
Pobranie (Ingest)26 marca 2026
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