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AI Senior Member of Technical Staff

AVEVA · Bangalore

Senior 🇬🇧 English
Microsoft Azure Azure Functions API Management RESTful API design LLMs prompt engineering Model Context Protocol Agent2Agent regression classification clustering deep learning GitHub Copilot AI Foundry Semantic Kernel MAF

Job description

About the role

AVEVA is looking for an experienced software developer to join its Core AI Services team in Bangalore. You will help design, develop, and scale secure, cloud‑native AI platform services and public APIs that become foundational building blocks for AI adoption across AVEVA’s product portfolio.

Key responsibilities

  • Build scalable, fault‑tolerant cloud‑native services on Microsoft Azure with high performance and reliability.
  • Develop secure, well‑documented public APIs and SDKs for internal and external developers.
  • Collaborate with cross‑functional teams to deliver end‑to‑end solutions across data pipelines, orchestration, and service APIs.
  • Embed robust security controls to protect sensitive data and ensure secure access to AI services.
  • Participate in design reviews, code reviews, and architectural discussions to maintain engineering excellence.
  • Mentor junior developers and foster a culture of continuous learning and innovation.
  • Work on AI model deployment, training, and tooling development, including LLMs, RAG, and prompt engineering.

Required profile

  • 6+ years of professional software engineering experience, with at least 3 years focused on AI/ML systems or platforms.
  • Hands‑on experience with Microsoft Azure PaaS services such as Azure Functions, AKS, and API Management.
  • Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
  • Proven ability to secure APIs and manage authentication/authorization.

Required skills

  • Microsoft Azure, Azure Functions, Azure Kubernetes Service (AKS), API Management
  • RESTful API design and security
  • Large Language Models (LLMs) and related trade‑offs
  • Retrieval‑Augmented Generation (RAG), prompt engineering, agent orchestration
  • Model Context Protocol (MCP) and Agent2Agent (A2A) standards
  • Machine‑learning algorithms: regression, classification, clustering, deep learning
  • AI ethics frameworks (e.g., NIST AI RMF, EU AI Act)
  • GitHub Copilot, AI Foundry, Semantic Kernel, MAF

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Source : ats:workday

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Published 2 months ago

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AVEVA

Bangalore