Senior AI Engineer

IsraelFull-timesenior

Machine Learning EngineerData

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Overview

Cloudinary is seeking a Senior AI Engineer to drive automation, integrations, and AI enablement across the organization. Reporting to the VP of MIS (CFO Office),

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Machine Learning EngineerData

Cloudinary is seeking a Senior AI Engineer to drive automation, integrations, and AI enablement across the organization. Reporting to the VP of MIS (CFO Office), this is a high-impact individual contributor role responsible for designing and delivering scalable integrations and AI-powered workflows that improve efficiency and accelerate business execution.

This role combines deep technical expertise with practical AI application (including LLM-based workflows), operating with a strong MVP-first, bias-for-action approach and full ownership from design through production and optimization. It plays a key role in shaping Cloudinary’s modern MIS capabilities and business infrastructure.

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)
- 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

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