Artificial Intelligence Application Engineer

Infosys; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Infosys in Bengaluru seeks an AI Application Engineer to build enterprise AI solutions and intelligent automation.

You will prototype AI agents, implement RAG architectures, and integrate with SAP and cloud platforms while ensuring governance, security, and scalability.

Qualifications

• Proven development experience in enterprise AI applications.
• Hands-on with AI agents, RAG, and prompt engineering.
• Familiarity with SAP integration and BTP is a plus.

Responsibilities

• Develop AI-powered applications and agents across platforms.
• Design RAG architectures and AI orchestration.
• Ensure security, scalability, and production readiness.
• Collaborate with stakeholders to deliver end-to-end use cases.

Skills

Python

JavaScript/TypeScript

Node.js

Java

LLMs

Agentic AI

RAG architecture

Prompt Engineering

AI Governance

AI Security & Compliance

Tools

LangChain

LangGraph

LlamaIndex

Vector Databases (Pinecone, Chroma, Weaviate, Qdrant)

SAP HANA Cloud

Azure/AWS/GCP

Docker

Kubernetes

CI/CD

REST APIs

Microservices

SAP BTP Integration Suite

SAP AI Core / Joule Studio

Job description

• AI Application Engineer
• Strong proficiency in Python.
• Experience with JavaScript/TypeScript, Node.js, or Java.
• Hands-on experience with LLMs (GPT, Claude, Gemini, Llama, etc.).
• Experience in Agentic AI, RAG, Prompt Engineering, and Function Calling.
• Knowledge of LangChain, LangGraph, LlamaIndex, or similar AI frameworks.
• Experience with Vector Databases such as Pinecone, Chroma, Weaviate, Qdrant, or SAP HANA Cloud.
• Exposure to Cloud & DevOps tools including Azure/AWS/GCP, Docker, Kubernetes, and CI/CD.
• Experience in REST APIs, Microservices, Enterprise Integrations, and preferably SAP BTP Integration Suite.
• Hands-on experience in AI Agent Development using MCP Servers, A2A Protocols, and SAP Integration Suite or similar platforms.
• Good understanding of Responsible AI, AI Governance, and AI Security & Compliance.
• Candidates with experience in SAP BTP, SAP AI Core, AI Launchpad, SAP Business AI/Joule Studio, SAP Build Code, CAP (Cloud Application Programming Model), SAP Integration Suite, and SAP HANA Cloud will be preferred. However, these skills are not mandatory. Ideal candidates will come from backgrounds such as AI Engineer, GenAI Engineer, Agentic AI Developer, Full Stack AI Engineer, or SAP BTP AI Developer, with a strong passion for building enterprise-grade AI solutions and intelligent automation capabilities.
• Develop AI-powered applications, AI agents, and copilots across SAP and other enterprise platforms.
• Design and implement RAG architectures, vector search capabilities, and AI orchestration frameworks.
• Build scalable backend services, APIs, and microservices using modern software development practices.
• Integrate AI solutions with SAP systems, ERP data sources, and enterprise business applications.
• Ensure security, scalability, observability, performance, and production readiness of AI solutions.
• Collaborate with business stakeholders, product teams, and architects to deliver end-to-end AI use cases.
• Implement responsible AI practices, governance controls, and compliance standards.