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AI Application Engineer

Infosys · Bangalore Est

🇬🇧 English
Python JavaScript TypeScript Node.js Java Agentic AI Prompt Engineering Function Calling LangChain LangGraph LlamaIndex Pinecone Chroma Weaviate Qdrant SAP HANA Cloud Azure AWS GCP Docker Kubernetes CI/CD REST APIs SAP BTP Integration Suite MCP Servers A2A Protocols SAP Integration Suite Responsible AI AI Governance AI Security Compliance

Job description

About the role

We are looking for an AI Application Engineer to design, develop, and deliver enterprise‑grade AI solutions. You will work on AI‑powered applications, agents, and copilots that integrate with SAP and other business platforms.

Key responsibilities

  • Develop AI‑driven applications, agents, and copilots across SAP and enterprise environments.
  • Design and implement Retrieval‑Augmented Generation (RAG) architectures, vector search, and AI orchestration frameworks.
  • Build scalable backend services, APIs, and micro‑services using modern development practices.
  • Integrate AI solutions with SAP systems, ERP data sources, and other 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.

Required profile

  • Strong proficiency in Python and experience with JavaScript/TypeScript, Node.js, or Java.
  • Hands‑on experience with large language models (GPT, Claude, Gemini, Llama, etc.).
  • Experience in Agentic AI, RAG, Prompt Engineering, and Function Calling.
  • Knowledge of AI frameworks such as LangChain, LangGraph, or LlamaIndex.
  • Familiarity with vector databases (Pinecone, Chroma, Weaviate, Qdrant, SAP HANA Cloud).
  • Exposure to cloud platforms (Azure, AWS, GCP) and DevOps tools (Docker, Kubernetes, CI/CD).
  • Experience with REST APIs, micro‑services, enterprise integrations, preferably SAP BTP Integration Suite.
  • Understanding of Responsible AI, AI Governance, and AI Security & Compliance.

Required skills

  • Python
  • JavaScript
  • TypeScript
  • Node.js
  • Java
  • LLMs (GPT, Claude, Gemini, Llama)
  • Agentic AI
  • Retrieval‑Augmented Generation (RAG)
  • Prompt Engineering
  • Function Calling
  • LangChain
  • LangGraph
  • LlamaIndex
  • Pinecone
  • Chroma
  • Weaviate
  • Qdrant
  • SAP HANA Cloud
  • Azure
  • AWS
  • GCP
  • Docker
  • Kubernetes
  • CI/CD
  • REST APIs
  • Micro‑services
  • SAP BTP Integration Suite
  • MCP Servers
  • A2A Protocols
  • SAP Integration Suite
  • Responsible AI
  • AI Governance
  • AI Security
  • Compliance

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Published 1 month ago

Expires 2 weeks from now

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Infosys

Bangalore Est