Senior AI Engineer (OZ)

At DVT, we help our clients solve complex business challenges through innovative software engineering, technology consulting, and digital transformation solutions. Our people are passionate about delivering exceptional outcomes, embracing new technologies, and building software that makes a meaningful impact. We're looking for a Senior AI Engineer who is excited about moving beyond simple AI integrations and building intelligent, enterprise-grade AI solutions that create real business value. If you've built sophisticated AI applications leveraging LLMs, RAG, embeddings, vector databases, agentic workflows, observability, and Human-in-the-Loop (HITL) processes, we'd love to hear from you.

As a Senior AI Engineer, you'll play a key role in designing, building, and scaling intelligent software solutions.

Your responsibilities will include:

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  Developing AI-powered applications using Python and .NET

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  Designing and implementing advanced Generative AI solutions

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  Building Retrieval-Augmented Generation (RAG) architectures that combine LLM capabilities with organisational knowledge

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  Working with embeddings, semantic search, and vector databases

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  Designing and orchestrating agentic AI workflows capable of complex, long-running tasks

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  Implementing Human-in-the-Loop (HITL) capabilities to ensure governance, quality, and operational control

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  Developing AI evaluation frameworks to measure performance, accuracy, safety, and business impact

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  Establishing observability, monitoring, and diagnostics across AI systems

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  Partnering with technical and business stakeholders to deliver scalable and secure solutions

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  Driving engineering best practices throughout the software development lifecycle

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  Contributing to architecture decisions, innovation initiatives, and proof-of-concept development

• Strong professional software development experience with Python and .NET

• Hands-on experience building solutions using Large Language Models (LLMs)

• Proven experience with:

  • Retrieval-Augmented Generation (RAG)

  • Content embeddings

  • Semantic search

  • Vector databases

• Experience designing and implementing agentic AI workflows

• Experience integrating Human-in-the-Loop (HITL) processes into AI applications

• Strong understanding of AI evaluation, testing, and quality assurance practices

• Experience implementing observability and monitoring capabilities for AI systems

• Solid software engineering fundamentals and architecture knowledge

• Experience delivering production-grade applications within enterprise environments

• Experience with Azure OpenAI, OpenAI, Anthropic, or related AI platforms

• Experience with frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar technologies

• Exposure to MLOps, CI/CD practices, and cloud-native architectures

• Experience working with AI governance, responsible AI, and compliance frameworks

• Knowledge of containerisation technologies and cloud platforms such as Azure, AWS, or GCP

• Experience working within fintech, payments, or other highly regulated industries

You're an engineer who understands that successful AI delivery is about far more than calling an API.

You know how to build AI solutions that are reliable, observable, secure, measurable, and production ready. You're curious about emerging technologies, passionate about engineering excellence, and thrive in environments where innovation and discipline go hand in hand.

Who we are: