Senior AI Software Engineer (.NET & Azure) OZ/HA

Posted Yesterday
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Johannesburg, City of Johannesburg, Gauteng, ZAF
Hybrid
Senior level
Artificial Intelligence • Big Data • Software • Business Intelligence
Transforming businesses with innovative custom software development, AI and data engineering services.
The Role
Build and deploy enterprise-grade AI platforms using C#, .NET, Azure, Azure OpenAI, APIs, microservices, agentic AI, and RAG. Design scalable cloud-native services, integration layers, and MLOps processes while ensuring security, governance, compliance, monitoring, and reliable production operations. Provide architectural leadership and mentorship to engineering teams.
Summary Generated by Built In

At DVT, we build technology solutions that solve real business challenges. As a leading software engineering and technology consulting company, we partner with clients across industries to deliver innovative, high-quality solutions using modern engineering practices and emerging technologies.

DVT is partnering with a leading enterprise client to build secure, scalable, AI-powered platforms that will transform how teams work, automate decision-making, and accelerate business outcomes.

We're looking for a Senior AI Software Engineer who combines deep .NET engineering expertise with modern AI development practices. This role is ideal for a senior software engineer who can build robust APIs, cloud-native services, AI orchestration layers, and enterprise-grade solutions leveraging Azure AI technologies.

This is a hands-on engineering opportunity where you'll architect, build, and deploy production-ready AI systems rather than experiment in isolated proof-of-concepts.

What You'll Do

As a Principal AI Software Engineer, you'll play a key role in shaping and delivering enterprise AI capabilities that are reliable, secure, and scalable.

Your responsibilities will include:

  • Designing and building enterprise-grade AI applications using C#, .NET, and Azure.

  • Developing high-performance APIs and microservices that integrate with AI and machine learning capabilities.

  • Building intelligent applications leveraging Azure OpenAI and Large Language Models (LLMs).

  • Designing and implementing Agentic AI solutions capable of autonomous task execution and workflow orchestration.

  • Developing Retrieval-Augmented Generation (RAG) solutions using vector databases and semantic search.

  • Building reusable platform services that enable AI adoption across the broader technology landscape.

  • Creating robust integration layers between AI services and enterprise platforms.

  • Implementing MLOps and DevOps practices to support reliable AI deployment and monitoring.

  • Ensuring solutions meet enterprise security, governance, and compliance requirements.

  • Providing technical leadership, mentorship, and architectural guidance to engineering teams.

What We're Looking For

Strong .NET Engineering Background

You are first and foremost an exceptional software engineer.

You'll bring:

  • 6-8+ years of software development experience.

  • Advanced C# and .NET expertise.

  • Strong experience designing RESTful APIs and distributed systems.

  • Deep understanding of software architecture and design patterns.

  • Experience building enterprise-scale applications.

  • Strong SQL and database design knowledge.

  • Experience working within Agile software delivery teams.

Azure & Cloud-Native Development

You'll have hands-on experience with:

  • Microsoft Azure

  • Azure OpenAI

  • Azure AI Services

  • Azure Machine Learning

  • Azure Storage

  • Azure DevOps

As well as:

  • Containerisation (Docker/Kubernetes)

  • CI/CD pipelines

  • Cloud-native architectures

  • Event-driven systems

  • Microservices

AI Engineering & Agentic Systems

You'll have practical experience building modern AI-powered solutions, including:

  • Large Language Models (LLMs)

  • Prompt engineering

  • Agent frameworks and orchestration

  • Tool calling and workflow automation

  • Retrieval-Augmented Generation (RAG)

  • Vector databases and embeddings

  • Knowledge retrieval systems

  • Context and memory management

  • Multi-agent architectures

MLOps & AI Operations

Experience with:

  • Model deployment

  • Monitoring and observability

  • Automated testing

  • Version control and governance

  • Performance optimisation

  • Drift detection

  • Production AI operations

Security & Engineering Excellence

You'll understand:

  • Secure software development practices

  • API security

  • AI security considerations

  • Architecture governance

  • Enterprise compliance requirements

  • Responsible AI principles

The Ideal Candidate

We're looking for a technically curious engineer who enjoys solving complex challenges and building software that delivers real-world impact.

You'll likely be someone who:

  • Loves building scalable platforms and APIs.

  • Enjoys exploring emerging AI technologies.

  • Thinks like an architect but still enjoys coding.

  • Can translate business requirements into elegant technical solutions.

  • Thrives in complex enterprise environments.

  • Mentors others and raises engineering standards around them.

Qualifications

Essential

  • Degree in Computer Science, Software Engineering, Mathematics, Engineering, or related field.

  • 6-8+ years of professional software development experience.

  • Proven experience delivering enterprise applications into production.

  • Strong C#, .NET, Azure, and API development skills.

Advantageous

  • Experience building AI-powered applications.

  • Experience with Azure OpenAI and Generative AI technologies.

  • Experience with MLOps platforms and practices.

  • Azure certifications.

Why Apply?

This is an opportunity to move beyond traditional software engineering and help build the next generation of intelligent enterprise systems.

You'll work on cutting-edge AI initiatives, modern Azure technologies, large-scale architecture challenges, and innovative solutions that combine software engineering excellence with the power of AI.

If you're a strong .NET engineer excited about AI, APIs, cloud platforms, and building production-grade intelligent systems, we'd love to hear from you.

Who we are:

Skills Required

  • Degree in Computer Science, Software Engineering, Mathematics, Engineering, or a related field
  • 6-8+ years of professional software development experience
  • Proven experience delivering enterprise applications into production
  • Strong C# expertise
  • Strong .NET expertise
  • Strong Microsoft Azure expertise
  • Strong API development skills
  • Experience designing RESTful APIs and distributed systems
  • Understanding of software architecture and design patterns
  • Experience building enterprise-scale applications
  • Strong SQL and database design knowledge
  • Experience working in Agile software delivery teams
  • Experience with Azure OpenAI and generative AI technologies
  • Experience building AI-powered applications
  • Experience with MLOps platforms and practices
  • Azure certifications
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The Company
HQ: Johannesburg
689 Employees
Year Founded: 1999

What We Do

Custom Software, AI and Data Engineering services. Global Scale. Local Engagement. DVT is a proudly South African founded and operated technology services provider. As a BEE level 2 company, we are a committed local partner to South African clients, providing experienced software technology teams or staff to build, enhance or maintain your AI, data and software solutions.

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