Senior AI Software Engineer (.NET & Azure) OZHA

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.

Were looking for a Senior AI Software Engineer who combines 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 youll architect build and deploy production-ready AI systems rather than experiment in isolated proof-of-concepts.

As a Principal AI Software Engineer youll 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.

Engineering Background

You are first and foremost an exceptional software engineer.

Youll bring:

• 6-8 years of software development experience.

• Advanced C# 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.

Youll 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

Youll 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

Youll understand:

• Secure software development practices

• API security

• AI security considerations

• Architecture governance

• Enterprise compliance requirements

• Responsible AI principles

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

Youll 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.

Youll 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 youre a engineer excited about AI APIs cloud platforms and building production-grade intelligent systems wed love to hear from you.

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