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:
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Designing and building enterprise-grade AI applications using C#, .NET, and Azure.
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Developing high-performance APIs and microservices that integrate with AI and machine learning capabilities.
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Building intelligent applications leveraging Azure OpenAI and Large Language Models (LLMs).
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Designing and implementing Agentic AI solutions capable of autonomous task execution and workflow orchestration.
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Developing Retrieval-Augmented Generation (RAG) solutions using vector databases and semantic search.
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Building reusable platform services that enable AI adoption across the broader technology landscape.
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Creating robust integration layers between AI services and enterprise platforms.
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Implementing MLOps and DevOps practices to support reliable AI deployment and monitoring.
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Ensuring solutions meet enterprise security, governance, and compliance requirements.
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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:
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6-8+ years of software development experience.
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Advanced C# and .NET expertise.
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Strong experience designing RESTful APIs and distributed systems.
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Deep understanding of software architecture and design patterns.
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Experience building enterprise-scale applications.
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Strong SQL and database design knowledge.
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Experience working within Agile software delivery teams.
Azure & Cloud-Native Development
You'll have hands-on experience with:
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Microsoft Azure
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Azure OpenAI
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Azure AI Services
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Azure Machine Learning
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Azure Storage
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Azure DevOps
As well as:
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Containerisation (Docker/Kubernetes)
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CI/CD pipelines
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Cloud-native architectures
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Event-driven systems
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Microservices
AI Engineering & Agentic Systems
You'll have practical experience building modern AI-powered solutions, including:
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Large Language Models (LLMs)
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Prompt engineering
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Agent frameworks and orchestration
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Tool calling and workflow automation
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Retrieval-Augmented Generation (RAG)
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Vector databases and embeddings
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Knowledge retrieval systems
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Context and memory management
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Multi-agent architectures
MLOps & AI Operations
Experience with:
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Model deployment
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Monitoring and observability
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Automated testing
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Version control and governance
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Performance optimisation
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Drift detection
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Production AI operations
Security & Engineering Excellence
You'll understand:
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Secure software development practices
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API security
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AI security considerations
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Architecture governance
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Enterprise compliance requirements
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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:
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Loves building scalable platforms and APIs.
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Enjoys exploring emerging AI technologies.
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Thinks like an architect but still enjoys coding.
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Can translate business requirements into elegant technical solutions.
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Thrives in complex enterprise environments.
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Mentors others and raises engineering standards around them.
Qualifications
Essential
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Degree in Computer Science, Software Engineering, Mathematics, Engineering, or related field.
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6-8+ years of professional software development experience.
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Proven experience delivering enterprise applications into production.
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Strong C#, .NET, Azure, and API development skills.
Advantageous
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Experience building AI-powered applications.
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Experience with Azure OpenAI and Generative AI technologies.
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Experience with MLOps platforms and practices.
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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:
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