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<strong>Headquarters:</strong> Frost Bank Tower Austin, North America, 78701 United States
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<br><div class="mx-auto max-w-750 prose font-company-body overflow-hidden break-words [&_ol_li_li]:list-[lower-alpha]"><br><h2><span><strong>Senior Backend / Product Engineer </strong></span><span><strong><br></strong></span><span><strong>(AI Platform)</strong></span></h2><p><span><strong>Location:</strong> Remote</span><span><br></span><span><strong>Type:</strong> Full-time</span><span><br></span><span><strong>Team:</strong> Cost Optimisation (CO) – Product Engineering</span><span><br></span><span><strong>Reports to:</strong> Product Lead (CO)</span></p><h2><span><strong>About Virtasant</strong></span></h2><p><span>Virtasant is a global technology services company with a network of over 4,000 professionals across 130+ countries. We specialise in cloud architecture, engineering, and transformation, helping enterprises deliver at scale while building internal capability and reducing third-party dependency.</span></p><p><span>We work with ambitious, forward-thinking organisations to solve real-world challenges through hands-on execution, deep technical expertise, and a delivery-led approach.</span></p><h2><span><strong>The Role</strong></span></h2><p><span>We’re hiring a senior backend-first product engineer to help build and scale our AI-powered cost intelligence platform.</span></p><p><span>This role is explicitly product-focused. You will not be pulled into client delivery. Your mission is to build core platform capabilities that mature our current FinOps platform into a smart intelligence platform - including AI-driven insights, workflows, and agent-based features that can be sold as standalone capabilities.</span></p><p><span>You’ll operate with high autonomy, significant ownership, and direct access to product leadership. Think <em>founding engineer energy</em>, without the chaos.</span><span><br><br></span><span>You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty.</span></p><h2><span><strong>What You’ll Be Doing</strong></span></h2><ul><li><p><span>Design and build backend-heavy platform features for our platform</span></p></li><li><p><span>Productionalise AI-enabled capabilities (e.g. anomaly detection, recommendations, agent-based workflows)</span></p></li><li><p><span>Implement AI thoughtfully across the entire SDLC - prototyping, testing, iteration, and deployment</span></p></li><li><p><span>Collaborate closely with Product to turn vision into shipped features</span></p></li><li><p><span>Identify blockers early, communicate clearly, and iterate fast</span></p></li><li><p><span>Help shape engineering standards and patterns as the product matures</span></p></li><li><p><span>You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty.</span></p></li><li><p><span>Design systems that support model evaluation, prompt/version management, and deterministic fallbacks to ensure AI-driven features are observable, testable, and production-safe.</span></p></li><li><p><span>Build AI features with explicit evaluation criteria, feedback loops, and guardrails (accuracy, latency, cost, and explainability) so models improve predictably over time.</span></p></li></ul><p><span><strong>Success in the first 6–12 months looks like:</strong></span></p><ul><li><p><span>2+ production-ready features shipped</span></p></li><li><p><span>Tangible progress towards operating as a smart intelligence platform</span></p></li><li><p><span>Clear, repeatable engineering patterns for AI-enabled development</span></p></li><li><p><span>Utilize lightweight but rigorous AI engineering practices (evaluation harnesses, rollout strategies, and rollback mechanisms) that allow the platform to scale AI features safely and repeatedly.</span></p></li></ul><h2><span><strong>What We’re Looking For (Non-Negotiables)</strong></span></h2><ul><li><p><span>5+ years professional software engineering experience</span></p></li><li><p><span>Strong backend engineering background (full-stack a plus, not required)</span></p></li><li><p><span>Hands-on experience building on AWS</span></p></li><li><p><span>Strong proficiency in Python (JAVA/C++ acceptable as secondary languages)</span></p></li><li><p><span>Demonstrated experience using AI in real production systems (not just experimentation - clear, repeatable patterns)</span></p></li><li><p><span>Comfortable working in ambiguity with product-led direction</span></p></li><li><p><span>Ability to architect backend services that support asynchronous workflows, event-driven pipelines, and AI agents that operate over time rather than single request/response cycles.</span></p></li><li><p><span>Comfort articulating why certain AI approaches were not used, including trade-offs around latency, explainability, data availability, or long-term maintainability.</span></p></li></ul><p><span><strong>What Matters More Than Checklists</strong></span></p><p><span>We care deeply about how you think and build, not just what tools you’ve used.</span></p><p><span>We’re looking for engineers who can:</span></p><ul><li><p><span>Tell a compelling story about a product journey, not just features shipped</span></p></li><li><p><span>Explain why decisions were made and what trade-offs were considered</span></p></li><li><p><span>Fail fast, learn quickly, and iterate relentlessly</span></p></li><li><p><span>Clearly articulate technical roadblocks and collaborate on solutions</span></p></li><li><p><span>Thrive in a fast-paced, high-ownership environment</span></p></li></ul><h2><span><strong>What This Role Is <em>Not</em></strong></span></h2><ul><li><p><span>Not a Solutions Architect role</span></p></li><li><p><span>Not client-facing delivery work</span></p></li><li><p><span>Not a support or “overflow” engineering position</span></p></li></ul><p><span>This role is protected, by design, to focus on <strong>product and platform</strong>.</span></p><h2><span><strong>Why This Role Stands Out</strong></span></h2><ul><li><p><span>You’ll work on a <strong>real AI product</strong>, not internal tooling or demos</span></p></li><li><p><span>Near-founding-engineer level <strong>autonomy and influence</strong></span></p></li><li><p><span>Direct impact on product direction and commercial outcomes</span></p></li><li><p><span>Opportunity to help shape a platform with <strong>standalone, licensable AI capabilities</strong></span></p></li><li><p><span>A rare chance to build product inside a consultancy <em>without</em> being consumed by client work</span></p></li><li><p><span>You’ll build AI capabilities informed by real enterprise-scale cost and usage data, enabling smarter models and workflows than greenfield or synthetic-data products.</span></p></li></ul><h2><span><strong>Why Virtasant</strong></span></h2><ul><li><p><span>High ownership, high trust environment</span></p></li><li><p><span>Opportunity to own and shape technical delivery at scale</span></p></li><li><p><span>Work closely with experienced engineering and delivery teams</span></p></li><li><p><span>Exposure to broader cloud optimisation and consulting initiatives over time</span></p></li></ul><br></div><br>
<p><strong>To apply:</strong> <a href="https://weworkremotely.com/remote-jobs/virtasant-senior-backend-product-engineer-ai-platform">https://weworkremotely.com/remote-jobs/virtasant-senior-backend-product-engineer-ai-platform</a></p>