SAP Developer - CAP, ABAP & AI Services
Digital Links Inc · Washington, DC · 1 mo ago
Information TechnologyFull-time
Skills
- SAP CAP (Cloud Application Programming Model, Node.js)
- SAP BTP (Cloud Foundry) deployment & operations
- OData API design, data modeling & service consumption patterns
- Test Driven Development (Jest / ABAP Unit), integration & performance testing
- Designing architecture in complex system landscapes
- Cross-team architecture alignment & reuse strategies
- Translating business requirements into technical architecture
- ABAP ABAP OO (7.54+) reading, extending & maintaining services
- ABAP Gateway / OData API consumption & exposure (on-prem & cloud systems)
- Performance tracing, analysis & query optimization
- General OOP & software engineering best practices
- Observability & operational tooling for support teams
- Fluent English, experience in international / multi-site teams
- AI / GenAI Understanding LLM capabilities & limitations in enterprise contexts
- Integration of AI services into CAP & ABAP (REST / SDK)
- Prompt engineering for reliable business outputs
- End-to-end AI integration in CAP (service consumption, error handling, fallback patterns)
- Agentic concepts (tools, orchestration, state, when agents add value vs. anti-patterns)
Requirements
Must have:
- SAP CAP (Cloud Application Programming Model, Node.js)
- SAP BTP (Cloud Foundry) deployment & operations
- OData API design, data modeling & service consumption patterns
- Test Driven Development (Jest / ABAP Unit), integration & performance testing
- Designing architecture in complex system landscapes
- Cross-team architecture alignment & reuse strategies
- Translating business requirements into technical architecture
- ABAP ABAP OO (7.54+) reading, extending & maintaining services
- ABAP Gateway / OData API consumption & exposure (on-prem & cloud systems)
- Performance tracing, analysis & query optimization
- General OOP & software engineering best practices
- Observability & operational tooling for support teams
- Fluent English, experience in international / multi-site teams
- AI / GenAI Understanding LLM capabilities & limitations in enterprise contexts
- Integration of AI services into CAP & ABAP (REST / SDK)
- Prompt engineering for reliable business outputs
- End-to-end AI integration in CAP (service consumption, error handling, fallback patterns)
- Agentic concepts (tools, orchestration, state, when agents add value vs. anti-patterns)