AI Engineer

Jobtailor; Leeds; On-site; GBP 80,000 - 110,000; Full time

Job summary

Jobtailor in Leeds is seeking a senior software engineer to lead AI solutions across multiple client engagements. You will work with client data teams to ingest and prepare data, build AI workflows using Azure AI Foundry, LangChain or similar tools, and optimize RAG pipelines for accuracy and latency.

The role requires production experience with AI agents, the ability to ship solutions end-to-end, and strong communication with stakeholders.

Qualifications

• Experience in a senior or lead software engineering role with a full stack background.
• Proficiency with React.js and modern web stacks.
• Azure Cloud experience (5+ years).
• Experience shipping production AI solutions using orchestration frameworks.
• Ability to write clean, testable, scalable code in Python, C#, or JavaScript.

Responsibilities

• Lead the development of AI solutions across multiple client engagements.
• Collaborate with clients to translate business challenges into AI-driven solutions.
• Ingest, clean, and prepare data for modeling with client data teams.
• Build and integrate AI solutions using Azure AI Foundry, LangChain or similar frameworks.
• Design and optimize RAG pipelines, embedding generation, vector databases, APIs and retrieval tuning.
• Promote prompt optimization and post-training for LLMs to improve workflows.
• Define evaluation frameworks for model safety, accuracy and performance.
• Collaborate with DevOps to build MLOps pipelines for faster experimentation and deployment.
• Ship AI models into live production and iterate based on usage and metrics.
• Write clean, scalable code in .NET or Python and integrate with backend services.
• Stay updated with AI research and apply it pragmatically.

Skills

Senior leadership

Full stack development

React.js

Python

C#

Tools

Azure AI Foundry

LangChain

OneReach.ai

Job description

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.

Requirements

• 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.