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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