Senior Backend / Product Engineer (AI Platform)

Virtasant Full Time Remote (International) 2 weeks ago

<section class="pt-20 pb-12 block-px company-links"> <div class="mx-auto max-w-750 prose font-company-body overflow-hidden break-words [&_ol_li_li]:list-[lower-alpha]" data-controller="careersite--responsive-video"> <h2>Senior Backend / Product Engineer <span style="font-size:23pt;font-family:Arial, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"> (AI Platform)</h2>Location: Remote<span style="font-size:11pt;font-family:Arial, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"> Type: Full-time<span style="font-size:11pt;font-family:Arial, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"> Team: Cost Optimisation (CO) – Product Engineering<span style="font-size:11pt;font-family:Arial, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"> Reports to: Product Lead (CO)<h2>About Virtasant</h2>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.We work with ambitious, forward-thinking organisations to solve real-world challenges through hands-on execution, deep technical expertise, and a delivery-led approach.<h2>The Role</h2>We’re hiring a senior backend-first product engineer to help build and scale our AI-powered cost intelligence platform.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.You’ll operate with high autonomy, significant ownership, and direct access to product leadership. Think founding engineer energy, without the chaos.<span style="font-size:11pt;font-family:Arial, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"> 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.<h2>What You’ll Be Doing</h2><ul><li>Design and build backend-heavy platform features for our platform</li><li>Productionalise AI-enabled capabilities (e.g. anomaly detection, recommendations, agent-based workflows)</li><li>Implement AI thoughtfully across the entire SDLC - prototyping, testing, iteration, and deployment</li><li>Collaborate closely with Product to turn vision into shipped features</li><li>Identify blockers early, communicate clearly, and iterate fast</li><li>Help shape engineering standards and patterns as the product matures</li><li>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.</li><li>Design systems that support model evaluation, prompt/version management, and deterministic fallbacks to ensure AI-driven features are observable, testable, and production-safe.</li><li>Build AI features with explicit evaluation criteria, feedback loops, and guardrails (accuracy, latency, cost, and explainability) so models improve predictably over time.</li></ul>Success in the first 6–12 months looks like:<ul><li>2+ production-ready features shipped</li><li>Tangible progress towards operating as a smart intelligence platform</li><li>Clear, repeatable engineering patterns for AI-enabled development</li><li>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.</li></ul><h2>What We’re Looking For (Non-Negotiables)</h2><ul><li>5+ years professional software engineering experience</li><li>Strong backend engineering background (full-stack a plus, not required)</li><li>Hands-on experience building on AWS</li><li>Strong proficiency in Python (Java/C++ acceptable as secondary languages)</li><li>Demonstrated experience using AI in real production systems (not just experimentation - clear, repeatable patterns)</li><li>Comfortable working in ambiguity with product-led direction</li><li>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.</li><li>Comfort articulating why certain AI approaches were not used, including trade-offs around latency, explainability, data availability, or long-term maintainability.</li></ul>What Matters More Than ChecklistsWe care deeply about how you think and build, not just what tools you’ve used.We’re looking for engineers who can:<ul><li>Tell a compelling story about a product journey, not just features shipped</li><li>Explain why decisions were made and what trade-offs were considered</li><li>Fail fast, learn quickly, and iterate relentlessly</li><li>Clearly articulate technical roadblocks and collaborate on solutions</li><li>Thrive in a fast-paced, high-ownership environment</li></ul><h2>What This Role Is Not</h2><ul><li>Not a Solutions Architect role</li><li>Not client-facing delivery work</li><li>Not a support or “overflow” engineering position</li></ul>This role is protected, by design, to focus on product and platform.<h2>Why This Role Stands Out</h2><ul><li>You’ll work on a real AI product, not internal tooling or demos</li><li>Near-founding-engineer level autonomy and influence</li><li>Direct impact on product direction and commercial outcomes</li><li>Opportunity to help shape a platform with standalone, licensable AI capabilities</li><li>A rare chance to build product inside a consultancy without being consumed by client work</li><li>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.</li></ul><h2>Why Virtasant</h2><ul><li>High ownership, high trust environment</li><li>Opportunity to own and shape technical delivery at scale</li><li>Work closely with experienced engineering and delivery teams</li><li>Exposure to broader cloud optimisation and consulting initiatives over time</li></ul> </div> </section>

Senior Backend / Product Engineer (AI Platform)

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