Overview

Vector Database Cloud is an AI infrastructure startup recognized by Google, Microsoft, AWS, Paddle AI Launchpad, Qdrant, OVHcloud, DigitalOcean, Appwrite, Temporal, and Cloudflare. We’re building the next generation of enterprise-grade vector infrastructure, powering AI/ML innovation with leading vector engines, multi-cloud orchestration, and compliance-ready deployment.

• API Integration Engineer(s) – Be part of the founding team shaping a global-scale AI infra company.

Equity participation only (no salary until fundraising) – structured and subject to funding.

• Full-time commitment preferred, fully remote.

• End-to-end ownership of API architecture, integrations, and connectors.

• Work on a platform already backed by industry validation and global startup programs.

• Work directly with the Founder/CEO, translating vision into APIs, integrations, and marketplace delivery.

What we expect

– Experience managing API platforms, marketplaces, and ecosystems.

– Proven ability to define API strategy, governance, and lifecycle management.

– Familiarity with API-first SaaS, OpenAPI, GraphQL, gRPC, authentication/authorization (OAuth2, JWT, SAML, etc.).

– Experience building APIs for regulated industries (finance, healthcare, pharma, etc.) with compliance in mind.

Responsibilities

• Hands-on experience designing and integrating APIs with external services, AI/ML platforms, and enterprise data sources.
• Strong background in SDKs, connectors, and adapters.
• Proficiency in Python/Go/TypeScript, OpenAPI/Swagger, REST/gRPC, and async processing.
• Ability to optimize APIs for scalability, reliability, and low-latency performance.
• Focus on building and maintaining prebuilt connectors for enterprise SaaS (CRM, ERP, data warehouses, messaging, etc.).
• Experience in ETL/ELT pipelines, event-driven architectures, and cloud-native integrations.
• Knowledge of data compliance standards (GDPR, HIPAA, PCI DSS).

Qualifications

• API Integration Engineer – Hands-on experience in designing and integrating APIs with external services, AI/ML platforms, and enterprise data sources.
• Strong background in SDKs, connectors, and adapters.
• Proficiency in Python/Go/TypeScript, OpenAPI/Swagger, REST/gRPC, and async processing.
• Experience building APIs for regulated industries with compliance in mind.
• Experience with authentication/authorization standards and security best practices.
• Knowledge of data compliance standards (GDPR, HIPAA, PCI DSS).

Employment details

• Employment type: Full-time
• Location: Fully remote
• Note: Equity participation only until fundraising; compensation structured and subject to funding