Infosys—AI Application Engineer

Job description

Description: •  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. Requirements: We are looking for an experienced AI Engineer / GenAI Engineer / Agentic AI Developer with 5+ years of hands-on experience in designing, developing, and deploying enterprise-grade AI solutions. The ideal candidate should have expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and cloud-native technologies. The role involves building intelligent AI agents, copilots, and automation solutions integrated with enterprise platforms, business applications, and SAP ecosystems, while ensuring compliance with Responsible AI principles and governance standards. 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. Skills: •  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.