SAP Developer - CAP, ABAP & AI Services

Period: asap  – 31.12.2026

Capacity: 100%

Location: Remote

Language: English (must)

 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

Work style / Motivation

• Pair programming & unit testing
• Modern ABAP tooling (ADT, ABAP Git, Eclipse)
• Agentic development (Joule, Copilot, AI-assisted workflows)
• Enjoys new challenges & continuous learning
• Thrives in a highly motivated, collaborative team

AI Engineer - energy industry

Start: asap
Duration: 6 months (option of extension)
Location: remote
Language: English
EU only

Key Requirements

Must-have
• Data engineering pipelines (preprocessing, ingestion, transformation)
• LLMs / AI systems in production
• Strong programming skills (Python expected)
• APIs (e.g. FastAPI)
• Handling unstructured data (PDFs, OCR, images)
• Multi-modal AI (text + image)
• Real-time / low-latency systems
• Cloud & infrastructure (Terraform)
• CRM integrations

Understanding of:
• Data quality, validation & monitoring
• Security / filtering layers in AI systems

Project Description – AI-Driven Customer Enablement Platform

Building an AI-driven, LLM-based platform to support customer service teams in handling incoming 
customer interactions (emails, letters, documented calls). The goal is to create a centralized AI system 
that enriches and leverages a 360° customer data view to improve efficiency, routing, and decisionmaking. The platform integrates with an existing Microsoft CRM system and builds on current workflows. 
The focus is on establishing scalable data foundations and reusable AI capabilities for multiple future 
use cases.
-Highly cross-functional environment with overlapping responsibilities

Responsibilities
• Design & implement data pipelines and preprocessing workflows
• Work with LLMs in production environments
Contribute to:
• Prompt engineering
• Model orchestration
• Evaluation & quality assurance
• Support multi-modal processing (text, PDFs, images)
• Integrate AI components into existing systems & APIs
• Infrastructure as Code (Terraform)
• Service architecture

Expectations
• Strong AI Engineering mindset, but hands-on with data
• Comfortable working across different areas (AI, data, backend)
• Flexible and pragmatic ("not just LLM modeling")
• Able to work in early-stage, evolving environment

1. Mehrjährige Erfahrung im Packaging & Deployment von Microservices auf Kubernetes mit Helm (Chart-Struktur, Templates, Values, Hooks, Upgrades)
2. Sicherer Umgang mit Helm Best Practices: idempotente Deployments, sauberes Value-Schema, Secrets-Handling (z.?B. External Secrets), Chart-Testing/Linting
3. Fundierte Kubernetes-Kenntnisse für produktive Deployments: RBAC, Ingress/Gateway, Service Discovery, Storage, Pod Security/Policies, Quotas/LimitRanges
4. Erfahrung mit GitOps und Argo CD (Application/Project-Konzept, App-of-Apps, MultiCluster/Environment-Setups, Sync-Waves/Health Checks)
5. Nachweisbare Praxis in der Absicherung von Deployments (Supply Chain, Image Policies/Scanning, Signierung/Provenance, Policy-as-Code z.?B. OPA/Gatekeeper oder Kyverno)sehr gute Kenntnisse in Monitoring mit Grafana, Prometheus, Loki and OpenTelemetry
6. English Level C1
7.  

1. Erfahrung mit agilen Methoden (Scrum, Kanban)
2. Erfahrungen bei der Weitergabe von Wissen (Mentoring light)
3. DevSecOps-Grundlagen
4. Erfahrung im Enterprise Umfeld
5. Fundierte Erfahrung mit Kubernetes (Deployment, Betrieb, Troubleshooting)
6. Erfahrung mit Design, Implementierung und Betrieb von wiederverwendbaren Helm Charts (Library-/Umbrella-Charts, Subcharts, Dependencies) für Produkt- und Plattformkomponenten
7. Erfahrung mit der Standardisierung von Deployments in Kubernetes (Namespaces, RBAC, NetworkPolicies, Resource Requests/Limits, PDB, HPA)
8. Erfahrung mit der Umsetzung von GitOps-Deployments (z.?B. Argo CD) mit Helm (Values Strategie, Environments, Promotion, Drift Detection)
9. Erfahrung mit Etablierung von Release- und Rollout-Strategien (Canary/Blue-Green, Rollback, Versionierung, SemVer, Changelog/Release Notes)
10. Erfahrung mit Troubleshooting von Deployments (Helm templating/rendering, Kubernetes Events/Logs, Debugging von Init/Readiness/Liveness-Probes)
11. Expertenerfahrung mit GitOps-Ansätzen in komplexen Deployment Szenarien (hybrid and mulit Cloud )(ArgoCD und Helm
12. Erfahrung mit Container-Technologien (z.?B. Docker)
13. Kenntnisse in Infrastructure-as-Code (z.?B. Terraform, OpenTofu)
14. Erfahrung mit Kustomize und Helm in Kombination (Overlay-Strategien)
15. Erfahrung mit Helmfile oder ähnlichen Tools zur Orchestrierung mehrerer Releases
16. Kenntnisse in Service Mesh (z.?B. Cillium) und deren Deployment-Patterns
17. Erfahrung mit Multi-Tenancy und Mandantenfähigkeit in Kubernetes (Isolation, Guardrails, SelfService)

Project Details

Period: asap  – 31.12.2026 + Extension

Capacity: 100%

Location: 100% Remote

Language: English (must), French (nice to have), Arabic (nice to have), Italian (nice to have), Portuguese (nice to have), Spanish (nice to have)

What you will do As a Technical Service Manager you will contribute to SAP's global strategy by supporting our customers with their SAP S/4 HANA adoption on their path to the Intelligent Enterprise as part of the SAP Enterprise Cloud Services team. TSMs play a critical part in helping our customers accelerate their cloud transformation journey and enable them to achieve the business values and outcomes they want from their SAP landscape. Your will act as a trusted technical advisor to our customers and partners. This includes analysing customer’s business requirements and problems and working across the SAP Enterprise Cloud Services and other SAP departments to provide quality services to our customers, resolve technical complexities and accompany them throughout their entire cloud transformation journey.

As Technical Service Manager you will be responsible for the following tasks:

• Primary contact for customers for discussions about SAP technology and innovations and serve as an escalation point person for technical issues, service requests and incidents
• Understand the customer business, goals, and challenges to suggest technical solutions & services
• Offer comprehensive knowledge on SAP S/4HANA architecture, conversion, migration path, methodology and tools.
• Understand the SAP high availability or disaster recovery architecture, network and virtual technologies (load-balancer, virtual machine)
• Identify top issues, define & execute service plan activities and orchestrate implementation of technical action items across customer landscapes
• Design optimal SAP configuration to maximize system performance and availability.
• Identify and position offerings by SAP that deliver value to the custome

What you need to bring

• Minimum 7+ years of SAP Technical administration and operations of SAP Solutions (preferably in the domain of SAP Basis)
• Minimum 3 years of experience in customer facing role
• Hands on experience and working knowledge of Unix/Linux flavors, SAP HANA and Sybase data bases.
• Experience in de-escalating critical situations.
• Fluency in Italian and English is mandatory. Fluency in Spanish, Portuguese or Turkish language is an advantage.
• Solid know-how on SAP Technologies and Products (SAP certification highly beneficial),