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

DVT; Johannesburg; Vor Ort; ZAR 900.000 - 1.600.000; Vollzeit

Zusammenfassung

DVT is seeking a Senior AI Software Engineer in Johannesburg to build production-ready AI systems on Azure. You will architect and deploy secure, scalable APIs and services, leveraging modern AI routines and agentic workflows for enterprise use.

Ideal candidates have a strong C#/.NET background, deep API design experience, and the ability to lead architectural decisions in a fast-moving enterprise environment.

Qualifikationen

• 6-8+ years of software development experience.
• Strong C#, .NET, and API development skills.
• Experience delivering enterprise-scale applications.
• Proficient in SQL and database design.

Aufgaben

• Designing and building enterprise-grade AI applications using C#, .NET, and Azure.
• Developing high-performance APIs and microservices that integrate with AI
• Building AI solutions with Azure OpenAI and LLMs.
• Implementing MLOps, DevOps practices, and security controls.
• Providing technical leadership and architectural guidance to teams.

Kenntnisse

C#

NET

Azure

REST APIs

Microservices

SQL

Ausbildung

Degree in Computer Science or related field

6-8+ years of experience

Tools

Docker

Kubernetes

Azure DevOps

CI/CD

Jobbeschreibung

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.

• Think[s] 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: