Database & Infrastructure Engineer (Full Stack)
Kled AI is a data marketplace that sources large-scale licensable datasets from verified human contributors, powering leading AI companies, governments, and research institutions. It also has a token, $KLED, used as a rewards currency within its data marketplace.
Projects
About Kled AI
Kled AI operates 'the leading data marketplace,' sourcing what it describes as the largest licensable datasets on the planet from verified contributors around the world. Through its mobile app, everyday users upload photos, videos, and other personal or professional content (e.g., student work, photography, financial data) and get paid for it, while Kled aggregates and licenses this human-sourced data to leading AI labs, governments, and research institutions. The company also conducts its own research on data curation and model fine-tuning (e.g., its 'Uncanny Valley of Perfection' computer vision research), and maintains a token ($KLED) used as a rewards currency for contributors. Kled has raised $10M in funding, received a $3M investment from The DATA Foundation, and secured an $8M financial data request, indicating growth across enterprise, government, and research client segments. It is backed by a range of angel investors from entertainment, tech, and venture backgrounds. The company operates as 'A Nitrility Inc. Company.'
Skills
About the Role
You will make our data layer world-class by optimizing and scaling PostgreSQL infrastructure that processes millions of files per day and stores hundreds of millions of media records. You'll design indexing, partitioning, and query strategies for large-scale media datasets, and improve performance across ingestion, enrichment, and retrieval pipelines. You'll build internal tools for querying and auditing large datasets, create customer-ready dataset sample packs, and design and automate dataset exports and delivery pipelines using S3, secure transfers, and custom formats. You'll work across backend, ML, and product teams to support new features. This isn't just DBA work — you'll help design the systems that move and package the data powering frontier AI labs.
Requirements
- Strong PostgreSQL expertise (indexing, partitioning, performance tuning)
- Experience working with large datasets (100M+ records preferred)
- Deep understanding of storage systems (S3 or similar object storage)
- Strong backend experience (TypeScript, Python, or similar)
- Comfort building internal tooling and automation scripts
- Ability to move between database, backend, and infrastructure work
- Experience with data pipelines (ETL, transformation layers) - bonus
- Experience with vector databases (pgvector, FAISS, Pinecone) - bonus
- Experience delivering structured datasets to enterprise customers - bonus
- DevOps experience (CI/CD, infra automation) - bonus
- Experience working with media-heavy systems - bonus
Responsibilities
- Optimize and scale PostgreSQL (Supabase) infrastructure
- Design indexing, partitioning, and query strategies for large-scale media datasets
- Improve performance across ingestion, enrichment, and retrieval pipelines
- Build internal tools for querying and auditing large datasets
- Create customer-ready dataset sample packs
- Design and automate dataset exports and delivery pipelines (S3, secure transfers, custom formats)
- Work across backend, ML, and product teams to support new features