Senior Backend Engineer – AI Platform

🕒 March 20

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Virtasant

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏢 Enterprise

🤝 B2B

Enterprise • B2B

Virtasant is a cloud services and optimization company that helps businesses migrate to, manage, and build on public cloud platforms. They combine a proprietary automation platform with managed services and FinOps expertise to reduce cloud costs (claiming average savings of over 50%), support Cloud FinOps programs, and deliver outcome-based engagements rather than hourly or seat-based billing. Virtasant also provides enterprise AI guidance and partners with major cloud providers (AWS, Google Cloud, Azure) to deliver migration, optimization, and 24/7 managed operations.

📋 Description

• 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 • 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.

🎯 Requirements

• 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.

🏖️ Benefits

• High ownership • Product focus • AI-First • Opportunity to own and shape technical delivery at scale • Exposure to broader cloud optimisation and consulting initiatives over time