Shape the Future of Enterprise AI with DVT

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.

Requirements

Why Join DVT?

You'll work alongside highly skilled engineers, architects, and consultants to design and deliver next-generation AI-powered solutions for leading organisations.

This role offers the opportunity to:

✅ Build production-ready Generative AI solutions

✅ Work with cutting-edge AI technologies and frameworks

✅ Solve meaningful business problems using AI

✅ Influence architecture and technical direction

✅ Collaborate within a culture of engineering excellence

✅ Contribute to responsible and secure AI adoption

What You'll Be Doing

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

Your responsibilities will include:

Developing AI-powered applications using Python and .NET

Designing and implementing advanced Generative AI solutions

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

Working with embeddings, semantic search, and vector databases

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

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

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

Establishing observability, monitoring, and diagnostics across AI systems

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

Driving engineering best practices throughout the software development lifecycle

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

What We're Looking For

Essential Skills & Experience

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

Nice to Have

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

Who You Are

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: