SAP AI Engineer

Orcapod Consulting Services; Bengaluru; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Orcapod Consulting Services Bengaluru seeks a SAP AI Engineer with 3+ years' hands-on experience in Generative AI and large language models to design and deploy AI solutions within SAP landscapes. You will implement intent classification, grounding prompts, tool calls, evaluation, guardrails, and routing to enterprise apps.

The role requires strong cloud experience with Azure OpenAI, Azure Cloud Foundry, and SAP integrations. Immediate joiners preferred for a C2H engagement in Bengaluru.

Qualifications

• Hands-on experience with Generative AI and large language models.
• Experience implementing intent classification, grounding prompts, tool calls, evaluation, and guardrails.
• Expertise with SAP AI Core, SAP AI Launchpad, and SAP Joule.
• Proficient in prompt engineering, RAG, and AI agent development.
• Experience integrating AI solutions within SAP landscapes.

Skills

Generative AI & LLMs

SAP AI Core / Joule

Prompt Engineering

RAG (Retrieval-Augmented Generation)

AI Agent Development

Grounding prompts / model routing

Integration in SAP landscapes

Azure OpenAI integration

Azure Cloud Foundry exposure

Tools

Docker

Kubernetes

Vector Databases

Azure OpenAI

Azure Cloud Foundry

SAP AI Launchpad

SAP Joule

Job description

LOCATION:BENGALURU

EXP:3+ YEARS

TYPE:C2H

Immediate joiners

Primary Skills:

• SAP AI Engineering with hands-on experience in Generative AI and Large Language Models (LLMs)
• Implement intent classification, grounding prompts, tool/function calling, evaluation, guardrails, response validation, and model routing
• Strong experience with SAP AI Core, SAP AI Launchpad, SAP Joule
• Expertise in Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI Agent Development
• Experience integrating AI solutions within SAP landscapes
• Hands-on exposure to Azure Cloud Foundry and SAP
• Experience with Azure OpenAI and integration of LLM-based solutions

Secondary Skills:

• Docker
• Kubernetes
• Vector Databases
• Azure OpenAI
• Cloud-based AI solution deployment and integration