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...