Senior Backend / Product Engineer (AI Platform)
# Senior Backend / Product Engineer (AI Platform) **Virtasant** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Backend-Engineering]` `[Product-Engineering]` `[AI-Engineering]` `[Platform-Engineering]` `[Software-Engineer]` `[Senior-AI-Backend-Engineer]` `[Senior-AI-Backend-Developer]` `[Senior-AI-Platform-Engineer]` `[Senior-Backend-Developer-(Artificial-Intelligence)]` `[AI-Backend-Engineer]` `[Senior-AI-Platform-Developer]` `[Backend-AI-Engineer]` `[Senior-Machine-Learning-Backend-Engineer]` `[Product-Engineer]` --- ### About the Role Senior Backend / Product Engineer (AI Platform) Location: Remote Type: Full-time Team: Cost Optimisation (CO) – Product Engineering Reports to: Product Lead (CO) About Virtasant 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. The Role 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. 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. What You’ll Be Doing - Design and build backend-heavy platform features for our platform. - Productionalise AI-enabled capabilities (e.g. anomaly detection, recommendations, agent-based workflows). - Implement AI thoughtfully across the entire SDLC - prototyping, testing, iteration, and deployment. - Collaborate closely with Product to turn vision into shipped features. - Identify blockers early, communicate clearly, and iterate fast. - Help shape engineering standards and patterns as the product matures. - 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. - Design systems that support model evaluation, prompt/version management, and deterministic fallbacks to ensure AI-driven features are observable, testable, and production-safe. - Build AI features with explicit evaluation criteria, feedback loops, and guardrails (accuracy, latency, cost, and explainability) so models improve predictably over time. Success in the first 6–12 months looks like: - 2+ production-ready features shipped. - Tangible progress towards operating as a smart intelligence platform. - Clear, repeatable engineering patterns for AI-enabled development. - 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. What We’re Looking For (Non-Negotiables) - 8+ years professional software engineering experience. - Strong backend engineering background (full-stack a plus, not required). - Hands-on experience building on AWS. - Strong proficiency in Python (Java/C++ acceptable as secondary languages). - Demonstrated experience using AI in real production systems (not just experimentation - clear, repeatable patterns). - Comfortable working in ambiguity with product-led direction. - 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. - Comfort articulating why certain AI approaches were not used, including trade-offs around latency, explainability, data availability, or long-term maintainability. What Matters More Than Checklists We care deeply about how you think and build, not just what tools you’ve used. We’re looking for engineers who can: - Tell a compelling story about a product journey, not just features shipped - Explain why decisions were made and what trade-offs were considered - Fail fast, learn quickly, and iterate relentlessly - Clearly articulate technical roadblocks and collaborate on solutions - Thrive in a fast-paced, high-ownership environment What This Role Is Not - Not a Solutions Architect role. - Not client-facing delivery work. - Not a support or “overflow” engineering position. This role is protected, by design, to focus on product and platform . Why This Role Stands Out - You’ll work on a real AI product , not internal tooling or demos. - Near-founding-engineer level autonomy and influence. - Direct impact on product direction and commercial outcomes. - Opportunity to help shape a platform with standalone, licensable AI capabilities. - A rare chance to build product inside a consultancy without being consumed by client work. - 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. Why Virtasant - High ownership, high trust environment. - Opportunity to own and shape technical delivery at scale. - Work closely with experienced engineering and delivery teams. - Exposure to broader cloud optimisation and consulting initiatives over time. Originally posted on Himalayas
- Backend-Engineering
- Product-Engineering
- AI-Engineering
- Platform-Engineering
- Software-Engineer
- Senior-AI-Backend-Engineer
- Senior-AI-Backend-Developer
- Senior-AI-Platform-Engineer
- Senior-Backend-Developer-(Artificial-Intelligence)
- AI-Backend-Engineer
- Senior-AI-Platform-Developer
- Backend-AI-Engineer
- Senior-Machine-Learning-Backend-Engineer
- Product-Engineer
Наблюдалась 2026-10-02, впервые 2026-10-02, источник — Himalayas (JSON API).