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AI Application Engineer

Infosys
Posted on
Infosys logo

Experience
9 - 13 yrs
Salary (CTC)
₹8.2L - ₹11.1L
Job Location
Bengaluru, India
Vacancy
1
Designation
AI Engineer
Job Type
ONSITE

Job Description

Educational Requirements

  • Bachelor of Engineering

Service Line

  • Enterprise Package Application Services

Responsibilities

  • 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.

Additional Responsibilities:

  • 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.

Technical and Professional Requirements:

  • 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.

Preferred Skills:

  • Technology-> SAP Technical-> SAP Business Technology Platform (SAP BTP)
  • Technology-> AI-Package AI-SAP Technical-> SAP AI


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