ABOUT US

Headquartered in Leeds with capabilities in both India and Saudi Arabia, we deliver AI driven transformation to help our clients accelerate change and unlock competitive advantage.

Our services span software engineering, AI implementation, cloud transformation, and technology strategy development, combining strategic thinking with exceptional delivery.

Our global team is made up of passionate, highly skilled individuals with experience across software engineering, technology strategy, and change management. As we grow our team, we are looking for people who want to be part of a culture that empowers bold thinking, celebrates diverse perspectives, and thrives on innovation.

OUR VISION

We empower organisations to solve complex challenges by uniting advanced technology with exceptional talent to deliver scalable, lasting transformation

ABOUT THE ROLE

As an AI Engineer, you’ll design, build, and deploy AI features that solve complex problems and deliver real value to our customer. Working across a variety of client projects, you’ll apply your expertise in areas such as conversational AI, image and data classification, and scalable model deployment, bringing cutting-edge AI to production environments at scale.

You’ll collaborate closely with our customer engagement and engineering teams to design and build robust, safe, and intuitive AI systems. This is a hands-on role where you’ll be writing code, building pipelines, and iterating quickly based on feedback from real users and stakeholders.

KEY RESPONSIBILITIES

• Lead the development of AI solutions across multiple client engagements.

• Collaborate with Abstract Customer Engagement and clients to understand business challenges and translate them into AI-driven solutions.

• Work with client data teams to ingest, clean, and prepare data for modeling.

• Build and integrate AI solutions using Azure AI Foundry, OneReach.ai, LangChain or similar orchestration frameworks for conversational AI.

• Design and optimise Retrieval-Augmented Generation (RAG) pipelines, including embedding generation, vector database configuration, API, MCP and retrieval tuning to improve accuracy, latency, and relevance in conversational AI.

• Prompt optimisation of closed source LLMs, or post-training of open-source LLMs to build new or improve existing agentic workflows

• Understand and guide on evaluation frameworks to measure model safety, accuracy, and performance, including recall, precision, F1-score, and other relevant metrics for both conversational AI and classification models.

• Collaborate with our DevOps team to produce MLOps pipelines to speed up experimentation, deployment, and monitoring.

• Ship AI models into live production environments and iterate rapidly based on usage, feedback, and metric-driven insights.

• Write clean, testable, and scalable code in .NET or Python and integrate with backend services.

• Stay up-to-date with the latest AI research and tools, applying them pragmatically to solve real problems.

• Design and refine prompts, workflows, and evaluation frameworks for autonomous AI financial analysts.

ESSENTIALS SKILLS/EXPERIENCE

• Experience operating within a senior or lead software engineering position with a full stack developer background

• Experience using React.Js

• Azure Cloud experience of at least 5+ years

• Exposure to building AI solutions, with experience shipping production solutions.

• Ability to write clean, testable, and scalable code with Python, C# or JS.

• Demonstrable production experience with AI Foundry Orchestration, LangChain, OneReach.ai or similar AI orchestration frameworks.

• Proven experience developing AI agents and agentic workflows for commercial applications.

• Experience leading technical projects from design through to production deployment.

• Strong communication and stakeholder management skills, with the ability to confidently present technical solutions and architectures to clients and senior stakeholders.

DESIRABLE SKILLS/EXPERIENCE

• Experience with Microsoft Azure, particularly Azure Functions and Azure AI Foundry.

• Proven experience in designing, implementing, and optimising RAG-based systems, including vector databases, APIs or MCP.

• Experience mentoring or supporting junior engineers.

If you don’t meet every listed requirement but think you have the skills to fulfil the role, we still encourage you to apply. We’re looking for people with the right approach, mindset, and ability to grow.

REMUNERATION AND BENEFITS

• Flexible Hybrid working structure (3 days in office).

• 25 days holiday rising an extra day a year up to 30 days.

• Base salary commensurate with experience.

• Vibrant Leeds City Centre office with games area, fully stocked kitchen, free food and drinks.

• Regular social events, team lunches, and outings.

• Benefits platform offering a range of retail and entertainment discounts

OUR VALUES

Listen & Deliver: We prioritise active listening and effective communication, ensuring that we understand and meet the needs of our clients and colleagues with precision and dedication.

Pioneering Innovation: We are driven by a commitment to continuous learning, we embrace new technologies and methodologies, furthering our collective growth.

Create & Adapt: We embrace creative thinking and agile methodologies, constantly adapting to change and seeking innovative solutions to challenges.

Unwavering Integrity: We uphold unwavering integrity in all our actions, demonstrating loyalty, consistency, reliability, and authenticity in our relationships with clients and colleagues.

Supportive Community: We foster a supportive community where kindness, openness, and non-judgment are valued, where every team member is empowered to contribute their ideas and expertise.

We are committed to building a diverse and inclusive workplace and welcome applications from people of all backgrounds, experiences, and identities. We believe diverse perspectives make us stronger and are proud to offer an inclusive recruitment process.

If you require any reasonable adjustments at any stage of the application or interview process, please let us know and we’ll be happy to support you.