Remote Jobs<\/p>\n
Region: Anywhere in the World<\/p>\n
State: <\/p>\n
\n Headquarters:<\/strong> Frost Bank Tower Austin, North America, 78701 United States\n<\/p>\n <\/p>\n Location:<\/strong> Remote<\/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>\n 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>\n We\u2019re hiring a senior backend-first product engineer to help build and scale our AI-powered cost intelligence platform.<\/span><\/p>\n 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>\n You\u2019ll operate with high autonomy, significant ownership, and direct access to product leadership. Think founding engineer energy<\/em>, without the chaos.<\/span><\/p>\n <\/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>\n Design and build backend-heavy platform features for our platform<\/span><\/p>\n<\/li>\n Productionalise AI-enabled capabilities (e.g. anomaly detection, recommendations, agent-based workflows)<\/span><\/p>\n<\/li>\n Implement AI thoughtfully across the entire SDLC – prototyping, testing, iteration, and deployment<\/span><\/p>\n<\/li>\n Collaborate closely with Product to turn vision into shipped features<\/span><\/p>\n<\/li>\n Identify blockers early, communicate clearly, and iterate fast<\/span><\/p>\n<\/li>\n Help shape engineering standards and patterns as the product matures<\/span><\/p>\n<\/li>\n 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>\n<\/li>\n 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>\n<\/li>\n Build AI features with explicit evaluation criteria, feedback loops, and guardrails (accuracy, latency, cost, and explainability) so models improve predictably over time.<\/span><\/p>\n<\/li>\n<\/ul>\n Success in the first 6\u201312 months looks like:<\/strong><\/span><\/p>\n 2+ production-ready features shipped<\/span><\/p>\n<\/li>\n Tangible progress towards operating as a smart intelligence platform<\/span><\/p>\n<\/li>\n Clear, repeatable engineering patterns for AI-enabled development<\/span><\/p>\n<\/li>\n 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>\n<\/li>\n<\/ul>\n 5+ years professional software engineering experience<\/span><\/p>\n<\/li>\n Strong backend engineering background (full-stack a plus, not required)<\/span><\/p>\n<\/li>\n Hands-on experience building on AWS<\/span><\/p>\n<\/li>\n Strong proficiency in Python (Java\/C++ acceptable as secondary languages)<\/span><\/p>\n<\/li>\n Demonstrated experience using AI in real production systems (not just experimentation – clear, repeatable patterns)<\/span><\/p>\n<\/li>\n Comfortable working in ambiguity with product-led direction<\/span><\/p>\n<\/li>\n 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>\n<\/li>\n Comfort articulating why certain AI approaches were not used, including trade-offs around latency, explainability, data availability, or long-term maintainability.<\/span><\/p>\n<\/li>\n<\/ul>\n What Matters More Than Checklists<\/strong><\/span><\/p>\n We care deeply about how you think and build, not just what tools you\u2019ve used.<\/span><\/p>\n We\u2019re looking for engineers who can:<\/span><\/p>\n Tell a compelling story about a product journey, not just features shipped<\/span><\/p>\n<\/li>\n Explain why decisions were made and what trade-offs were considered<\/span><\/p>\n<\/li>\n Fail fast, learn quickly, and iterate relentlessly<\/span><\/p>\n<\/li>\n Clearly articulate technical roadblocks and collaborate on solutions<\/span><\/p>\n<\/li>\n Thrive in a fast-paced, high-ownership environment<\/span><\/p>\n<\/li>\n<\/ul>\n Not a Solutions Architect role<\/span><\/p>\n<\/li>\n Not client-facing delivery work<\/span><\/p>\n<\/li>\n Not a support or \u201coverflow\u201d engineering position<\/span><\/p>\n<\/li>\n<\/ul>\n This role is protected, by design, to focus on product and platform<\/strong>.<\/span><\/p>\n You\u2019ll work on a real AI product<\/strong>, not internal tooling or demos<\/span><\/p>\n<\/li>\n Near-founding-engineer level autonomy and influence<\/strong><\/span><\/p>\n<\/li>\n Direct impact on product direction and commercial outcomes<\/span><\/p>\n<\/li>\n Opportunity to help shape a platform with standalone, licensable AI capabilities<\/strong><\/span><\/p>\n<\/li>\n A rare chance to build product inside a consultancy without<\/em> being consumed by client work<\/span><\/p>\n<\/li>\n You\u2019ll 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>\n<\/li>\n<\/ul>\n High ownership, high trust environment<\/span><\/p>\n<\/li>\nSenior Backend \/ Product Engineer <\/strong><\/span>
<\/strong><\/span>(AI Platform)<\/strong><\/span><\/h2>\n
<\/span>Type:<\/strong> Full-time<\/span>
<\/span>Team:<\/strong> Cost Optimisation (CO) \u2013 Product Engineering<\/span>
<\/span>Reports to:<\/strong> Product Lead (CO)<\/span><\/p>\nAbout Virtasant<\/strong><\/span><\/h2>\n
The Role<\/strong><\/span><\/h2>\n
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What We\u2019re Looking For (Non-Negotiables)<\/strong><\/span><\/h2>\n
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What This Role Is Not<\/em><\/strong><\/span><\/h2>\n
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Why This Role Stands Out<\/strong><\/span><\/h2>\n
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Why Virtasant<\/strong><\/span><\/h2>\n
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