AI Application Engineer

Develop enterprise-grade AI-powered applications, intelligent agents, copilots, and automation solutions across SAP and other enterprise platforms. The role involves designing RAG architectures, vector search, AI orchestration frameworks, scalable backend services, REST APIs, microservices, and integrations with SAP, ERP, and business applications. The engineer will also ensure security, scalability, observability, performance, production readiness, responsible AI, governance, and compliance.

Required Skills

Strong Python proficiency

JavaScript/TypeScript, Node.js, or Java

LLMs such as GPT, Claude, Gemini, or Llama

Agentic AI

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Function Calling

LangChain, LangGraph, LlamaIndex, or similar frameworks

Vector databases such as Pinecone, Chroma, Weaviate, Qdrant, or SAP HANA Cloud

REST APIs and microservices

Enterprise integrations

AI agent development using MCP Servers and A2A Protocols

Cloud and DevOps exposure: AWS/Azure/GCP, Docker, Kubernetes, and CI/CD

Responsible AI, AI governance, security, and compliance

Preferred / Additional Skills

SAP BTP

SAP AI Core

AI Launchpad

SAP Business AI / Joule Studio

SAP Build Code

CAP — Cloud Application Programming Model

SAP Integration Suite

SAP HANA Cloud