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"description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Are you ready to take your MLOps skills to the next level?</span></p>\n<p><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">We are hiring a Founding AI Platform Engineer to own the systems that make our ML and GenAI products reliable, deployable, observable, and scalable. This role sits at the intersection of backend engineering, infrastructure, MLOps, and product delivery. You will build the production layer around training, evaluation, deployment, serving, CI/CD, experimentation, and monitoring. In a team of our size, this role spans backend services, infrastructure, tooling, and reliability work. Your job is to make sure promising ML and GenAI capabilities become stable, customer-ready systems.<br><br></span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">All you need is:</span></p>\n<ul>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong software engineering background with experience building and operating production systems;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with backend services, cloud infrastructure, CI/CD, testing, observability, and automation;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong Python skills and comfort working across services, tooling, infrastructure, and operational workflows;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Good judgment about reliability, performance, maintainability, and cost tradeoffs;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Ability to collaborate closely with ML and product teams and move ambiguous work to completion;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">High ownership, attention to detail, and a bias toward simplifying and strengthening systems.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What would be an advantage:</span></p>\n<ul>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with MLOps workflows for model training, evaluation, deployment, and monitoring;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience serving ML models or LLM applications in production;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with experimentation platforms, event pipelines, analytics instrumentation, or feature delivery platforms;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with agent evaluation, prompt versioning, retrieval/search infrastructure, or vector-backed systems;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience supporting customer-facing APIs or SaaS platform infrastructure.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Your daily adventures will look like:</span></p>\n<ul>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Build and maintain the infrastructure and tooling used to train, evaluate, deploy, and monitor ML models and GenAI services;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Own production services, APIs, and pipelines that power recommendations, agent workflows, and customer-facing integrations;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Improve CI/CD, testing, release workflows, rollback processes, and environment management;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Establish observability across service health, model behaviour, agent quality, latency, cost, and failure modes;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Build reproducibility and lifecycle practices for models, prompts, datasets, configurations, and releases;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Support experimentation and measurement infrastructure so product and ML changes can be evaluated cleanly;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Improve reliability, scalability, security, performance, and cost efficiency across the stack;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Troubleshoot production issues end-to-end and turn recurring pain points into durable engineering improvements;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Help define the platform and engineering standards the company will rely on as it grows.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What Success Looks Like in the First 6 Months:</span></p>\n<ul>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Shipping a model or GenAI change to production becomes faster, safer, and less manual;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Core services and AI workflows are observable and easier to debug;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">The platform supports more usage with better reliability and lower operational friction;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Engineers spend less time fighting infrastructure and deployment issues and more time shipping product;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">You become the person who can see platform, reliability, and scaling risks early and address them before they become problems.</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><br>And this is how our interview process goes:</span></p>\n<ul>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">A 30-minute interview with a member of our HR team to get to know you and your experience;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">A 1-hour technical interview;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">A final interview to gauge your fit with our culture and working style.</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><br>Sounds interesting? Do not hesitate to apply or contact us if you have any questions!</span></p>",
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