SAP aims to build autonomous supply chain agents capable of reasoning, planning, and exception handling to enhance global commerce through the SAP Business Network, which connects over 3.6 million companies.
Requirements
- 7+ years of professional experience in software development
- 3+ years of experience building and deploying distributed systems, microservices, or backend APIs (e.g. REST, gRPC, GraphQL)
- 3+ years of applied AI experience (e.g. NLP, Machine Learning) including 1+ years of hands-on experience with Generative AI techniques like Large Language Models, RAG, Agentic Workflows
- Hands-on experience with agentic tools (e.g. LangChain, LangGraph) and Vector Databases
- Familiarity with graph databases (e.g. Neo4j) or query languages (Cypher, SPARQL) to support GraphRAG implementations
Responsibilities
- Component Design & Implementation: Own the end-to-end design and implementation of specific AI subsystems. You will translate high-level architectural vision into scalable, efficient, and maintainable code.
- Build Agentic Workflows: Develop and optimize autonomous agents using modern frameworks
- Production Engineering: Write clean, testable, and efficient code to implement highly available AI services
- Data & Integration: Implement data pipelines that feed our reasoning engines. You will integrate vector databases and knowledge graphs with SAP’s core business applications to ground AI responses in enterprise reality
- Conduct thorough code reviews and mentor junior engineers on best practices in software design and AI engineering
Other
- Bachelor’s degree in Computer Science, Engineering or a related technical field
- Master’s degree in Computer Science, Artificial Intelligence, or a related field
- 0 - 10% Expected Travel
- Hybrid is 3 days a week on-site, 2 days a week remote
- Domain Knowledge: Familiarity with Supply Chain Management, procurement processes, or logistics data models
