Who you are

• 6+ years of experience building backend or platform services
• Strong proficiency in Java, Node Js, or similar backend languages (or equivalent)
• Experience with distributed systems, APIs, and service orchestration
• Strong understanding of cloud-native architectures (AWS, Kubernetes, CI/CD)
• Hands-on experience integrating backend systems with: LLMs, AI agents, or ML-driven services, Tool / function calling or workflow orchestration
• Understanding of AI system characteristics: Non-determinism, Latency tradeoffs, Safety and guardrails
• Experience with: Authorization, security, and data protection, Auditability and compliance requirements, High-availability and fault-tolerant systems
• Experience with commerce systems (pricing, subscriptions, billing, payments)
• Familiarity with event-driven architectures and async workflows
• Experience building shared platforms used by multiple teams
• Exposure to experimentation, metrics, or AI evaluation frameworks

What the job involves

• Autodesk is building a shared AI-assisted commerce platform that enables AI copilots and agents to safely discover, recommend, and transact Autodesk offerings
• As a Senior Backend / Platform Developer, you will design and build the core APIs and orchestration layer (MCP) that connect AI systems to Autodesk’s existing commerce infrastructure (pricing, subscriptions, entitlements, checkout), with enterprise-grade reliability, security, and governance
• This role sits at the intersection of platform engineering, distributed systems, and applied AI enablement
• Design and implement scalable APIs for: Product discovery and offering configuration, Pricing and promotion resolution, Subscription, entitlement, and eligibility validation, Ensure APIs are deterministic, explainable, and versioned for AI
• Build orchestration workflows that allow AI agents to perform multi-step commerce actions safely
• Implement guardrails for: Pricing and contract rules, Enterprise and channel policies, Approval flows and rollback handling, Provide observability, audit logs, and traceability for AI-driven actions
• Partner with AI/ML developers to integrate LLM-based agents via tools, APIs, and function calling
• Design systems resilient to non-deterministic AI behavior
• Support evaluation, monitoring, and error handling for AI-triggered workflows
• Integrate with existing Autodesk commerce, identity, and platform services
• Define API contracts and platform standards used across product teams
• Contribute to long-term platform architecture and scalability decisions