All fields marked * are required
We are currently looking for a "Senior SAP Developer (m/f/d) CAP, ABAP & AI Services" for our client in the IT sector.
Start: asap
End: 31.12.2026
Capacity: Fulltime
Location: Remote
The product:
Education Provisioning ensures that learners of our customers get access to what they purchased. We help corporations manage training assignments of thousands of learners, build tools for support teams, react on contract-changes by customers through Sales, and build APIs for learning.sap.com, training.sap.com and learninghub.sap.com to help learners buy, renew and get access to elearnings, training events, practice systems and achieve certifications for SAP products.
Must have:
CAP / SAP BTP
SAP CAP (Cloud Application Programming Model, Node.js) as primary development platform
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)
Good to have:
SAP AI Stack
SAP AI Core & Generative AI Hub (BTP deployment & consumption)
Joule Studio (custom skills & copilot extensions)
LangGraph on BTP (multi-step agentic workflows)
Agentic patterns (tool calling, ReAct, human-in-the-loop)
AI observability (token tracking, hallucination detection via AI Launchpad / MLflow)
SAP Platform
SAP API Management (proxy creation & maintenance)
Dynatrace / Kibana (logging & observability)
NetWeaver destinations, authorization concepts & OData
SAP S/4HANA, SAP HCM LSO
SAFe (Scaled Agile Framework)
Data protection regulations (GDPR & global compliance)
Nice to have:
Vector databases (RAG pipelines & semantic search: SAP HANA Cloud Vector Engine, pgvector, etc.)
AI experiment tracking & agent observability (MLflow or equivalent)
SAP Build Code with Joule (AI-assisted CAP/ABAP development)
UI5 / Fiori annotations in CAP
Azure DevOps / CI-CD troubleshooting
Mindset / Expectations
Comfortable with legacy systems, monolith modernization & on-prem integrations (ERP, CRM, MDG)
Ability to work independently at near lead-developer level
Coaching & guiding other developers on architecture & design
Required
Preferred
All fields marked * are required
We are currently looking for a "Senior SAP Developer (m/f/d) CAP, ABAP & AI Services" for our client in the IT sector.
Start: asap
End: 31.12.2026
Capacity: Fulltime
Location: Remote
The product:
Education Provisioning ensures that learners of our customers get access to what they purchased. We help corporations manage training assignments of thousands of learners, build tools for support teams, react on contract-changes by customers through Sales, and build APIs for learning.sap.com, training.sap.com and learninghub.sap.com to help learners buy, renew and get access to elearnings, training events, practice systems and achieve certifications for SAP products.
Must have:
CAP / SAP BTP
SAP CAP (Cloud Application Programming Model, Node.js) as primary development platform
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)
Good to have:
SAP AI Stack
SAP AI Core & Generative AI Hub (BTP deployment & consumption)
Joule Studio (custom skills & copilot extensions)
LangGraph on BTP (multi-step agentic workflows)
Agentic patterns (tool calling, ReAct, human-in-the-loop)
AI observability (token tracking, hallucination detection via AI Launchpad / MLflow)
SAP Platform
SAP API Management (proxy creation & maintenance)
Dynatrace / Kibana (logging & observability)
NetWeaver destinations, authorization concepts & OData
SAP S/4HANA, SAP HCM LSO
SAFe (Scaled Agile Framework)
Data protection regulations (GDPR & global compliance)
Nice to have:
Vector databases (RAG pipelines & semantic search: SAP HANA Cloud Vector Engine, pgvector, etc.)
AI experiment tracking & agent observability (MLflow or equivalent)
SAP Build Code with Joule (AI-assisted CAP/ABAP development)
UI5 / Fiori annotations in CAP
Azure DevOps / CI-CD troubleshooting
Mindset / Expectations
Comfortable with legacy systems, monolith modernization & on-prem integrations (ERP, CRM, MDG)
Ability to work independently at near lead-developer level
Coaching & guiding other developers on architecture & design
Required
Preferred