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SAP Senior Developer - Java + AI Agents SAP Sales Cloud V2 
India, Karnataka, Bengaluru 
788198184

Yesterday

What you’ll do

  • Design and implement agentic backends in Java using Spring Boot (3.x) and Spring AI (or equivalent) with function/tool calling and orchestration.
  • Build and manage prompt templates, prompt/version control , and data governance.
  • Develop and integrate MCP (Model Context Protocol) tools/servers for standardized access to enterprise systems and actions; enforce quotas, auth, and auditability.
  • Engineer event-driven microservices on Kubernetes
  • Ensure security & compliance
  • Own CI/CD
  • Write ADRs, and mentor engineers on design and code quality.
  • Integrate with SAP Sales Cloud V2 and S/4HANA via REST/OData , following SAP Cloud product standards

What you bring

  • BE/B-Tech in Computer Science Engineering or equivalent.
  • Strong Java (17+) , Spring Boot (3.x) ; designing scalable, event-driven microservices.
  • Hands-on AI in Java : Spring AI/LangChain4j, LLM providers (OpenAI/Azure/compatible), embeddings, vector stores, tool/function calling , and agent frameworks.
  • Practical prompt engineering and LLM evaluation (offline harnesses, golden sets, A/B, safety).
  • Experience with Kubernetes/Kyma , Kafka , and one or more datastores ( Elastic/Mongo/Postgres ).
  • Proficiency with REST/OData , caching strategies, performance profiling; Micrometer/OpenTelemetry for metrics/tracing
  • Secure coding with OAuth2/OIDC ; familiarity with SAP IAS or enterprise identity

Good to have

  • SAP domain familiarity: SAP Sales Cloud V2 , S/4HANA integration, SAP BTP (Kyma), CAP basics.
  • Operations research/optimization exposure (routing, time windows) and batch/stream data processing.
  • Front-end collaboration (e.g., Angular ) for agent consoles and admin tooling.
  • Cost optimization, feature flags, policy/guardrail frameworks

Ways of working

  • Agile , code reviews, automated testing (unit/contract/e2e/load), and progressive delivery.
  • Documentation via ADRs , measurable KPIs for reliability, security, LLM quality, latency, and cost.


Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our

Please note that any violation of these guidelines may result in disqualification from the hiring process.