Senior Backend / Product Engineer (AI Platform)

Remote (available in: Bulgaria, Poland, Romania, Serbia, Ukraine) · Posted April 9, 2026

Salary: $100,000 or more USD

backend product engineering AI cost optimisation cloud architecture engineering transformation AWS Python remote work

The Role

We’re hiring a senior backend-first product engineer to help build and scale our AI-powered cost intelligence platform.

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

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)

  • 5+ 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

  • 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