Staff Ai + Dotnet Fullstack Engineer

Virtusa Apac

New South Wales

Sur place

AUD 160 000 - 210 000

Plein temps

Il y a 7 jours
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Résumé du poste

Virtusa APAC seeks Staff Engineers to lead the delivery of AI agents and integrations across enterprise platforms. You will drive full-stack development across React/TypeScript, C#/.NET, APIs, microservices, cloud-native infra, and AI orchestration with production support.

You will mentor teams, architect end-to-end solutions, ensure security and reliability, and mentor in RAG, prompt engineering, and agent-based workflows.

Qualifications

  • Experience delivering AI agents and conversational applications.
  • Strong background in full-stack engineering and platform integration.
  • Hands-on with cloud-native development and AI orchestration.

Responsabilités

  • Lead delivery of AI agent projects and integrations across enterprise systems.
  • Architect and implement end-to-end solutions with secure, scalable APIs.
  • Mentor teams on RAG, prompt engineering and guardrails.
  • Ensure observability, reliability and performance of AI-powered services.

Connaissances

React/TypeScript
C#/.NET
APIs
Microservices
Cloud-native
DevSecOps
CI/CD
Automated testing
Production support
LLM-powered AI
Agentic AI

Outils

Azure OpenAI/AI Foundry
Semantic Kernel
Copilot Studio
Dynamics 365
Power Platform / Dataverse

Description du poste

Staff Engineers

Technical leaders driving delivery of AI agents and integrations

Strong full-stack engineering with AI orchestration and platform integration expertise

Candidates should bring strong software engineering fundamentals across React/TypeScript, C#/.NET, APIs, microservices, cloud-native development (Azure/AWS), DevSecOps, CI/CD, automated testing and production support, combined with practical experience delivering LLM-powered and Agentic AI solutions.

Key capabilities include:

  • Building AI agents and conversational applications
  • API/tool integration and enterprise system orchestration
  • RAG, prompt engineering, vector search and knowledge retrieval
  • Conversational AI, including intent classification, NLU/NLP, entity extraction and context management
  • Human-in-the-loop workflows, escalation patterns and AI guardrails
  • Agent observability, evaluation, reliability and performance monitoring

Highly desirable experience includes:

  • Microsoft Copilot Studio, Azure OpenAI/AI Foundry, Semantic Kernel
  • Dynamics 365 Contact Centre
  • Voice Bots, IVR, PSTN and contact-centre routing
  • Agent testing, synthetic conversations and Responsible AI
  • Multi-agent architectures, Power Platform and Dataverse
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