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 DoAs 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.
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.
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
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
Experience with:
Model deployment
Monitoring and observability
Automated testing
Version control and governance
Performance optimisation
Drift detection
Production AI operations
You'll understand:
Secure software development practices
API security
AI security considerations
Architecture governance
Enterprise compliance requirements
Responsible AI principles
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.
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.
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#, .NET, Azure, and API development skills
- Advanced C# and .NET expertise
- Experience designing RESTful APIs and distributed systems
- Strong 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
- Hands-on experience with Microsoft Azure, Azure OpenAI, Azure AI Services, Azure Machine Learning, Azure Storage, and Azure DevOps
- Experience with containerization, Docker or Kubernetes, CI/CD pipelines, cloud-native architectures, event-driven systems, and microservices
- Practical experience with LLMs, prompt engineering, agent frameworks, tool calling, workflow automation, RAG, vector databases, embeddings, knowledge retrieval, context and memory management, or multi-agent architectures
- Experience with model deployment, monitoring, observability, automated testing, version control, governance, performance optimization, drift detection, and production AI operations
- Understanding of secure software development, API security, AI security, architecture governance, enterprise compliance, and responsible AI principles
- Experience building AI-powered applications
- Experience with Azure OpenAI and generative AI technologies
- Experience with MLOps platforms and practices
- Azure certifications
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.








