
SAP BTP AI & Joule Studio Developer
StoneGate-Technologies LLC
16m ago • Remote
Senior
Remote
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Quick Facts
Role: Lead SAP BTP AI Developer (SAP BTP AI & Joule Studio)
Employment: Contract
Experience: 5+ years (minimum 1–2 years in SAP AI / Joule / GenAI Hub)
Work model: Remote with travel
Description
Design, build, and orchestrate custom AI agent workflows within SAP Joule Studio and the SAP AI Core (Generative AI Hub). Create deterministic, multi-step agent actions for Supply Chain and Procurement by connecting conversational interfaces and autonomous agents to backend S/4HANA OData and REST APIs—without relying on SAP Business Data Cloud (BDC). Implement grounded prompts, tool execution frameworks, and review gates for high-risk transactional recommendations.
Responsibilities
Develop custom skills, actions, and multi-turn conversational agents in Joule Studio and the SAP Generative AI Hub.
Build agentic tool execution frameworks (e.g., Python, LangChain, or LangGraph) for planning and orchestrating ERP tasks on BTP Kyma/Cloud Foundry.
Author and maintain Joule Design Time Artifacts (DTA YAML/JSON schemas) to map natural language intents to backend SAP RAP/OData services.
Engineer grounded system prompts, dynamic parameter extraction, and human-in-the-loop review gates for high-risk transactional recommendations.
Implement side-by-side extensions using SAP Cloud Application Programming Model (CAP) for business logic, caching, or payload staging.
Requirements
5+ years of SAP cloud development experience (minimum 1–2 years in SAP AI / Joule / GenAI Hub).
Hands-on experience with SAP BTP Generative AI Hub, SAP AI Core, Joule Studio, and orchestration frameworks.
Strong Node.js or Python development skills.
Experience consuming REST/OData APIs, defining JSON schemas, and creating OpenAPI specifications.
Direct experience consuming S/4HANA APIs via BTP Destination Service with dynamic bearer token propagation.
Understanding of function calling/tool calling architectures, prompt engineering, context management, and deterministic error fallback patterns.
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