Senior AI Software Engineer (.NET & Azure

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.

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 Dev Ops 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 Dev Ops

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…