Software Development Engineer

Company: Autodesk

Location: Portland, OR

Type: Full-time

Posted: 2026-06-17

About this role

Job Requisition ID #
26WD97140


Position Overview
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 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.


Responsibilities

  • 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

Minimum Qualifications

  • 3+ 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 e...

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