At a Glance
- Tasks: Shape the future of AI by building and maintaining cutting-edge agentic infrastructure.
- Company: Join On, a fast-growing global sports brand focused on innovative AI solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Be at the forefront of AI technology and make a real impact in a dynamic team.
- Qualifications: Experience in software engineering, particularly in MLOps or ML platform engineering.
We are looking for an AI Platform Engineer to join the newly established AI and ML Platform team at On. As one of the fastest-growing global sports brands, investing in autonomous intelligence is critical to On’s strategy and our Company goals for 2026 and beyond.
While our existing squad has built a strong MLOps foundation, we need to inject additional deep, production‑grade agentic expertise. In this role, you will partner with your peers to mature the scalability, observability, and governance of our AI platform—ultimately shaping the blueprint for how a global brand leverages AI at scale.
Your Mission
As an AI Platform Engineer, you will play a key role in shaping the technical direction, delivery standards, and architectural quality for agentic solutions within the AI & ML platform space. Your core goals include:
- Build & Operate Agentic Infrastructure: Architect, scale, and maintain highly reliable, secure, and observable core platform components (e.g., evaluation frameworks, routing, gateways) for both internal and customer‑facing autonomous use cases.
- Empower Applied Solutions: Act as a trusted partner to business and product teams, providing the tooling and architectural guidance they need to accelerate their adoption of high‑impact agentic workflows.
- Contribute to AI & ML Convergence: Bring a deep curiosity for how LLMOps and traditional MLOps intersect, collaborating with peers to explore and test the strategy for a unified, hybrid AI/ML ecosystem.
- Navigate Ambiguity & Champion Standards: Thrive in a fast‑paced environment to turn ambiguous requirements into scalable features. Establish engineering best practices, evaluate cutting‑edge tooling, and foster technical consensus across the org.
Your story
You are an expert engineer who pairs deep infrastructure experience with a proven track record in the emerging AgentOps space. You know what "good" looks like in traditional platform engineering, and you have successfully translated that rigor into scaling Agentic AI safely.
- Core Engineering & Production AI Experience: Strong background in backend, platform, or data engineering; preference for candidates with prior experience in MLOps or ML Platform engineering.
- For a Mid‑Level role: 3+ years of overall software engineering experience, with at least 1 year of demonstrable experience building and maintaining production‑grade components for Agentic AI / LLM systems.
- For a Senior‑Level role: 5+ years of overall software engineering experience, with a proven track record of architecting, building, and leading major components of a production agentic infrastructure, far beyond the prototype phase.
- Deep Agentic & Cloud Stack Expertise: Fluent in modern agentic frameworks, cognitive architectures, and cloud ecosystems (GCP preferred). Skilled at architecting and interfacing with core platform components (vector/graph databases, semantic caches, and LLM orchestration gateways) and integrating external systems via standards like the Model Context Protocol (MCP).
- Observability & Evaluations: Experience implementing robust evaluation and observability frameworks (e.g., LangSmith, LangFuse) to monitor agent performance, quality, and cost.
- Governance & Velocity: Mature perspective on balancing delivery speed with safety, ensuring reliable and secure agent behavior in production without stifling innovation.
- Collaborative Mindset: Thrives on ambiguous, zero‑to‑one infrastructure challenges. Exceptional, low‑ego communicator who excels at building consensus, establishing deep partnerships, and earning trust with both technical and non‑technical stakeholders.
About the Team
The AI & ML Platform team is a newly established pillar within our Data and AI Org, tasked with driving the scale, efficiency, and global velocity of both traditional Machine Learning and next‑generation Agentic AI across On.
We focus on architecting and operating production‑grade infrastructure—from robust LLM gateways and evaluation frameworks to scalable ML pipelines. Beyond building the core engine, we act as trusted partners to teams looking to adopt Agentic AI solutions, providing the guidance, tooling, and best practices they need to implement their use cases successfully.
Our mission is to empower product teams and define a unified AI/ML ecosystem that scales with On’s global momentum.
On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.
Agentic AI Platform Engineer employer: ON.com
At On, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Marketing Data Architect in our dynamic team, you will have access to extensive growth opportunities, competitive benefits, and the chance to make a significant impact on our global marketing strategies from our vibrant location. Join us to be part of a forward-thinking company that values your expertise and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Platform Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ON.com or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ON.com.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ON.com.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ON.com that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Agentic AI Platform Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ON.com.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ON.com and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at ON.com
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ON.com uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
