Senior AI Integrations & Automation Engineer – Kraków / Hybrid | Visa + Salary Insights

📍 Location: eu

🏷 Type: Not specified

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Job Overview

This is a Senior AI Integrations & Automation Engineer role at Cloudinary, focused on building scalable automation systems, enterprise integrations, and AI-driven workflows across business-critical platforms. The position sits within the CFO organization (MIS function) and is designed for a 5+ years senior-level engineer with strong experience in APIs, integrations, and AI-enabled systems. The ideal candidate is someone who can bridge enterprise systems like Salesforce, NetSuite, and Okta with modern AI tooling, delivering production-grade automation with an MVP-first mindset and strong ownership from design to deployment.

🌍 Work Eligibility & Location

This role is based in Kraków, Poland with a Hybrid work model, meaning candidates are expected to collaborate both onsite and remotely. While visa sponsorship is not clearly stated, enterprise SaaS companies like Cloudinary often support international hiring depending on seniority and fit. The role is globally oriented in terms of systems, but operationally anchored in the EU timezone.

💰 Salary Intelligence

The compensation is expected to align with senior enterprise engineering roles in European SaaS companies. Given the scope covering AI automation, MCP gateways, integrations, and enterprise systems, this role likely sits in the upper-tier of engineering compensation bands. Total compensation may increase significantly with bonuses, equity, and performance-based incentives depending on internal Cloudinary structure.

📊 Role Breakdown

This role is deeply technical and sits at the intersection of AI engineering, systems integration, and enterprise automation. You will design and deploy workflows across platforms like Salesforce, NetSuite, Okta, Slack, and Google Workspace, ensuring secure, scalable, and observable integrations. A key responsibility is building AI-powered systems using LLMs, function calling, RAG pipelines, and agent-based workflows to automate internal operations.

You will also own the MCP Gateway, which acts as a central integration layer for AI-driven workflows. This includes building reusable connectors, managing API orchestration, and ensuring reliability through monitoring, retries, authentication, and rate limiting. Around 40–50% of the role focuses on hands-on engineering, while the rest involves system design, stakeholder collaboration, and iterative MVP delivery.

The role requires strong fluency in Python or Node.js, API design (REST, GraphQL, webhooks), and iPaaS tools like Workato or Zapier. You will continuously identify automation opportunities, translating business needs into scalable technical solutions with measurable efficiency gains.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a technically demanding role requiring deep system design capability and practical AI implementation skills. Competition is strong due to the combination of AI, automation, and enterprise integration expertise required. Candidates with production-level experience in scalable APIs and AI workflows will have a clear advantage.

🚀 Career Impact

This role significantly accelerates career progression in AI engineering and enterprise architecture. You will gain exposure to high-scale integration systems, AI orchestration frameworks, and cross-functional automation strategies, positioning you for future senior technical leadership roles.

📋 Key Responsibilities

You will be responsible for designing, building, and maintaining enterprise-grade integration systems using Python, Node.js, REST APIs, and iPaaS platforms. A major part of the role involves developing AI-powered workflows using LLMs, agents, and RAG-based systems to automate internal business processes.

You will own end-to-end lifecycle delivery, including architecture design, implementation, testing, monitoring, and optimization. Responsibilities also include managing the MCP Gateway, ensuring system reliability through logging and alerting systems, and maintaining secure authentication flows using OAuth and IAM standards.

Cross-functional collaboration with Finance, GTM, Security, and IT teams is essential to translate operational needs into scalable automation solutions that improve efficiency and reduce manual overhead.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role signals strong demand for AI-enabled integration engineers and reflects increasing enterprise investment in automation platforms. Competition is high, especially among senior backend engineers transitioning into AI systems roles. Early applicants with strong API and AI workflow experience will have a measurable advantage due to limited niche talent availability.

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✅ Job Source & Verification

This job post is based on a verified Cloudinary official job listing (Lever-powered posting). Information reflects the most recent publicly available description. Last updated: May 2026. Details are consistent with enterprise SaaS engineering roles involving AI integration, automation systems, and platform engineering responsibilities.