> Markdown version of [/jobs/ext/4587036-ai-software-engineer-sap-commerce-durable-orchestration-remote](https://www.wearedevelopers.com/jobs/ext/4587036-ai-software-engineer-sap-commerce-durable-orchestration-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer-SAP Commerce & Durable Orchestration - Remote - **Company:** The Dignify Solutions LLC - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Software Debugging, SAP (Applications), TypeScript, Management of Software Versions, ReactJS, Prompt Engineering, AI Coding Agents, Kubernetes, Apache Kafka, Hybris - **Published:** November 5, 2026 - **Apply:** https://www.thejobnetwork.com/job/10bf0631-e195-4984-8b94-574396e46fa1/ai-software-engineersap-commerce-durable-orchestration-remote ## About the Role * Senior-level experience delivering distributed production systems. * Strong SAP Commerce Cloud/Hybris or similar platform development experience. * Advanced Java and Spring development skills. * Experience with React.js and modern JavaScript or TypeScript. * Hands-on experience with at least one durable orchestration platform, such as Temporal, Cadence, Azure Durable Functions, AWS Step Functions, or Conductor. * Strong understanding of: + Workflow determinism and replay + Workflow versus activity responsibilities + At-least-once execution semantics + Idempotency and duplicate prevention + Retry classification and non-retryable failures + Compensation and saga patterns + Durable timers and asynchronous events + Workflow versioning and backward compatibility + Failure recovery and operational visibility * Experience designing event-driven integrations using Kafka or comparable messaging technology. * Demonstrated use of AI coding assistants or agentic engineering tools on substantive software work. * Practical understanding of context engineering: equipping AI systems with appropriate domain knowledge, tools, instructions, examples, and validation. * Strong automated testing, debugging, performance-analysis, and production-support skills.