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Senior AI Platform Engineer A global fitness technology company is building next-generation AI-powered platforms that help engineering teams build, ship, understand, and operate software more effectively. We are seeking a Senior AI Platform Engineer to design and build internal AI systems that improve developer productivity and enable scalable AI-assisted software delivery across the organization. In this role, you will create reusable platforms, services, APIs, and workflows that help engineering teams adopt AI-powered capabilities without building infrastructure from scratch. You will connect data from software delivery tools, deployment systems, source control platforms, security systems, and engineering workflows to create intelligent automation and actionable insights. What You'll Do Design and develop AI-powered internal platforms and services Build Python-based APIs and backend systems on AWS Create scalable workflows that support AI-assisted engineering processes Develop reusable tooling for code review, change analysis, release support, validation, and remediation Integrate data across source control, CI/CD, deployment, security, and engineering systems Contribute to agent-based and workflow-driven AI architectures Improve platform reliability, observability, scalability, and security What We're Looking For Strong software engineering experience building backend systems and APIs Expert-level Python development experience Hands-on AWS experience Experience building or integrating AI-powered applications and LLM-enabled systems Experience designing scalable platform capabilities and shared services Understanding of workflow orchestration, state management, approvals, branching, and long-running processes Strong communication and collaboration skills Preferred Qualifications LangGraph experience Agent orchestration or multi-agent system experience Familiarity with MCP concepts and AI tooling frameworks Experience building internal developer platforms or engineering productivity tools Experience integrating with CI/CD, source control, deployment, and security systems Exposure to observability tooling and developer experience platforms Why Join? You'll help define how AI is adopted across a global engineering organization while building the foundational platform used by developers worldwide. This is a highly visible opportunity to work at the intersection of platform engineering, AI systems, developer productivity, and cloud-native software development.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.