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Cloudinary
AI

Senior AI Engineer

Cloudinary · IL

Actively hiring Posted 11 days ago
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Responsibilities

  • Design, build, and deploy integrations across enterprise systems
  • Deliver MVP-first AI Infrastructures and iterate based on feedback
  • Implement integrations via iPaaS (Workato, Zapier, Make, Tray), custom APIs (Python, Node.js), or hybrid approaches
  • Own and operate the MCP Gateway as a central AI integration platform Build reusable connectors and expand platform capabilities Ensure reliability, security, scalability (monitoring, retries, auth, rate limiting, versioning)
  • Build reusable connectors and expand platform capabilities
  • Ensure reliability, security, scalability (monitoring, retries, auth, rate limiting, versioning)
  • Apply responsible AI practices (governance, auditability, compliance)
  • Ensure system reliability and operational excellence (logging, alerting, runbooks, incident response)
  • Own integrations end-to-end, including documentation and maintainability
  • Support driving automation opportunities across the organization
  • Develop AI-powered workflows and tools (LLMs, agents, RAG, function calling)
  • In scope: automation workflows, MCP Gateway, AI tools, business system integrations, reliability & observability
  • Out of scope: physical IT operations, endpoint support

Basic qualifications

  • 5+ years in integrations / MIS / systems engineering in SaaS environments
  • Strong API experience (REST, GraphQL, webhooks)
  • Proficiency in Python or JavaScript (Node.js / TypeScript)
  • Hands-on experience with iPaaS tools (Workato, Zapier, Make, Tray)
  • Familiarity with enterprise systems (Salesforce, Okta, NetSuite, Google Workspace)
  • Understanding of IAM, OAuth, API security, and compliance (SOC2, ISO, GDPR)
  • Experience building AI-powered workflows or tools
  • Understanding of LLM systems, orchestration, and integrations
  • Familiarity with MCP or similar frameworks (preferred) Proven ability to deliver quickly (MVP iterate* scale)
  • Strong problem-solving and iterative mindset
  • Comfortable in fast-paced, ambiguous environments
  • Strong communication skills
  • High standards for documentation and maintainability
  • Self-driven, proactive, and outcome-oriented
  • Collaborative and transparent

Preferred qualifications

  • Experience with MCP or API mediation layers
  • Event-driven architectures or data pipelines
  • Relevant certifications (Okta, Salesforce, Workato)
  • AWS Certifications
  • Integration delivery speed and throughput
  • Adoption and impact of automation (time saved, efficiency gains)
  • MCP Gateway reliability and scalability
  • Reduction in operational overhead
  • Stakeholder satisfaction

Tags & focus areas

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Fulltime Ai Ai Engineer Generative Ai

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