31.05.2026 aktualisiert

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AI Solutions Engineer , SAP BTP CPI, Devops Engineer

Heilbronn, Deutschland
Heilbronn +250 km
M.Eng. - Information and Electrical Engineering
Heilbronn, Deutschland
Heilbronn +250 km
M.Eng. - Information and Electrical Engineering

Profilanlagen

CV_Srinivas_AI_SAP_BTP.pdf

Skills

C (Programmiersprache)APIsBoost (C++ Libraries)Embedded SystemsPythonSAP HANASAP PI/POSOAPIntegration (Software)Prompt EngineeringSAP BTPBackendFastAPIMachine Learning OperationsRestful ApisApi-Management
SAP BTP & Integration Suite (CPI)
Design and implementation of complete SAP BTP integration scenarios end-to-end: CPI iFlows with Groovy transformation, Integration Advisor MIG/MAG for IDoc mapping, CAP extensions with CDS Views and OData V4, and API Management with OAuth2. Experience with Alert Notification Service, JMS Queues (Exactly-Once), and Edge Integration Cell.

AI & Machine Learning Stack
Development and deployment of production AI systems including RAG pipelines with LangChain and ChromaDB, 20+ agentic workflows using OpenAI and Claude APIs with tool use and output validation. Expertise in prompt engineering, guardrails, n8n agentic workflows, and Azure ML basics.

Python & Backend Development
Production-grade Python development with FastAPI, Pydantic, and SQLAlchemy. Experience building REST backends, CI/CD pipelines in Bitbucket and GitHub Actions, integration tests for hardware interfaces, and IoT backends with PostgreSQL and Docker Swarm.

SAP PI/PO
Hands-on experience with SAP PI/PO on-premise, including IDoc handling (ORDERS, INVOIC), RFC, SOAP and FILE adapters, Alert Framework, and Eclipse ADT for hybrid integration architectures.

SAP Development (ABAP Cloud / RAP / CAP)
Development with ABAP Cloud and RAP, CDS Views and OData V4, CAP using Node.js and Java, SAP Fiori and UI5 basics, S/4HANA integration, and SAP HANA Cloud basics.

TypeScript & React Frontend
Development of React/TypeScript frontends for internal engineering tools, including integration with REST backends and CI/CD pipelines in Scrum team environments.

Docker & DevOps
Containerization with Docker and Docker Swarm, CI/CD automation with GitHub Actions and Bitbucket Pipelines, monitoring with Prometheus and Grafana, and infrastructure tooling with Bash and Linux.

Embedded Systems & Firmware
Firmware development in C for ARM Cortex-M microcontrollers, SPI/UART drivers, PCB design with Altium, hardware bring-up, and CAN-Bus data analysis with Python.

Databases & APIs
Experience with PostgreSQL, SQLAlchemy, ChromaDB and FAISS as vector databases, REST APIs, Webhooks, and OData V4 services for enterprise and AI applications.

Erfahrung

Berufserfahrung0 - 5 Jahre
Freelancer seit2026

Sprachen

DeutschgutEnglischverhandlungssicher

Projekthistorie

SAP BTP Integration Hub - E-Commerce to S/4HANA Order Sync

SAP BTP Project
End-to-end integration: external REST API to CPI iFlow (routing, error handling, retry, JMS Exactly-Once) to S/4HANA SalesOrder via IDoc. Groovy script: JSON to SalesOrder/IDoc payload transformation, dynamic header setting, conditional routing. Integration Advisor MIG for IDoc ORDERS05, MAG for JSON-to-IDoc field mapping. API Management: OAuth2 client credentials, rate limiting, external API proxy. Alert Notification Service on error threshold. CAP extension: CDS data model with @UI annotations, OData V4 service via RAP Service Binding, HTML5 monitoring dashboard with real-time order status and manual retry.

Enterprise Integration Hub - SAP PI/PO + BTP Hybrid

SAP BTP Project
Hybrid architecture: SAP PI/PO for legacy ERP IDoc communication (ORDERS, INVOIC) via RFC and SOAP adapters in Eclipse ADT - BTP Integration Suite for modern REST/OData interfaces. JMS queues for Exactly-Once delivery. Alert Framework for operational monitoring. 3 failure scenarios documented with root cause and resolution. Full architecture document: message flows, security concept, deployment architecture, operating manual.

RAG-Powered Document Q&A

AI Project
Full RAG pipeline: document ingestion, chunking (800 chars, 150 overlap), OpenAI embeddings, ChromaDB/FAISS vector storage, retrieval chain. Confidence threshold 0.75 - below it returns insufficient context instead of hallucinating. 50-question eval set. Sub-2s latency at 500+ docs, 90%+ accuracy.

Agentic Workflow Platform - 20+ Production Workflows

AI Project
20+ LLM-powered workflows in production: lead qualification, ticket routing, document summarisation. Every LLM output validated against Pydantic schema before writing to any system. Retry with corrective instruction on validation failure. Error rate under 1%. Direct experience controlling AI agents through precise task definitions, output contracts and technical guardrails - applicable to SAP AI Core agent orchestration.

Software Developer & DevOps Engineer (Working Student)

Rheinmetall Invent GmbH, Neckarsulm, Germany
Python/Flask REST backend and React/TypeScript frontend for internal engineering tools. 4 Jenkins CI/CD pipelines in Bitbucket, 3 parallel Scrum teams, ~30% shorter release cycles. Python integration tests for Modbus TCP hardware interfaces running automatically in Jenkins. CAN-Bus data analysis with Python.

Master Thesis & Working Student - Backend & Cloud DevOps

HCP Sense GmbH, Darmstadt, Germany
Production FastAPI IoT backend: sensor ingestion, Pydantic validation, PostgreSQL via SQLAlchemy, Docker Swarm, GitHub Actions CI/CD, 95% pytest coverage, Prometheus/Grafana monitoring.

Embedded Software Engineer

Cyient Ltd & Microbit Embedded Solutions, Hyderabad, India
Firmware development in C for ARM Cortex-M, SPI/UART drivers, PCB design (Altium), hardware bring-up.

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