Senior AI Developer

Tribe Appointments Ltd; Reading; Hybrid; GBP 72,000 - 88,000; Full time

Benefits offered by this job

Hybrid role in Reading

Competitive salary progression

Structured learning pathways

Wellbeing support

Health cash plans

EV and tech schemes

Volunteering days

Life assurance

Onsite gyms where available

Regular social events

Job summary

Tribe Appointments Ltd in the UK is seeking a senior AI-enabled full-stack engineer to lead design, build, and deployment of AI-integrated applications. You'll work with React/Node.js, .NET/C#, Python/FastAPI, and Azure AI services to deliver production software for client environments in a hybrid role based in Reading.

The role emphasizes technical leadership, mentoring, and collaboration with customers to shape requirements, plus shaping reusable components and accelerators to scale AI

Qualifications

• Strong full-stack development experience with React/Node.js, .NET/C#, and Python/FastAPI.
• Proven background delivering production software in client-facing environments.
• Experience with LLM integration, prompt engineering, RAG, or agentic AI development.
• Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor.
• Hands-on experience with Azure cloud services and CI/CD pipelines.
• Ability to provide technical leadership and mentor others.
• Azure AI Engineer certification is desirable.
• Understanding of MCP, vector databases, and AI evaluation/testing approaches is desirable.
• Experience mentoring or leading small development teams is desirable.

Responsibilities

• Lead the design, development, and deployment of AI-integrated applications using modern full-stack technologies.
• Build features powered by LLMs, agentic workflows, RAG patterns, and MCP integrations.
• Work directly with customers to shape requirements and translate them into working software.
• Integrate Azure AI services such as Azure OpenAI, Cognitive Services, Azure ML, and AI Search.
• Provide technical leadership, ensuring engineering rigour, code quality, and best practice.
• Support pre-sales activity through prototyping, research, and proof-of-concept development.
• Define and prove a scalable, repeatable pattern for delivering AI solutions across the organisation.
• Build reusable components, accelerators, and tools to increase delivery speed and consistency.
• Evaluate emerging AI technologies and introduce best-fit approaches into engineering practice.
• Champion AI-assisted development techniques including vibe coding, agentic development, and AI-driven testing.
• Mentor and upskill developers as AI delivery expands into the wider engineering team.
• Contribute to product and delivery strategy, identifying opportunities to package AI capabilities.

Skills

React

Node.js

C#

Python

FastAPI

LLM integration

Prompt engineering

RAG

Agentic AI

Azure

CI/CD

GitHub Copilot

Claude

Cursor

MCP

Tools

GitHub

Azure

FastAPI

Cursor

Claude

Copilot

Azure OpenAI

CI/CD tools

Job description

Salary: £80,000 - 80,000 per year

Requirements:

• Strong full-stack development experience, including React/Node.js, .NET/C#, and Python/FastAPI.
• Proven background delivering production software in client-facing environments.
• Experience with LLM integration, prompt engineering, RAG, or agentic AI development.
• Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor.
• Hands-on experience with Azure cloud services and CI/CD pipelines.
• Ability to provide technical leadership and mentor others.
• Excellent communication and stakeholder management skills.
• Comfortable working autonomously and shaping ambiguity into structured delivery.
• Azure AI Engineer certification is desirable.
• Understanding of MCP, vector databases, and AI evaluation/testing approaches is desirable.
• Experience mentoring or leading small development teams is desirable.

Responsibilities:

• Lead the design, development, and deployment of AI-integrated applications using modern full-stack technologies.
• Build features powered by LLMs, agentic workflows, RAG patterns, and MCP integrations.
• Work directly with customers to shape requirements and translate them into working software.
• Integrate Azure AI services such as Azure OpenAI, Cognitive Services, Azure ML, and AI Search.
• Provide technical leadership, ensuring engineering rigour, code quality, and best practice.
• Support pre-sales activity through prototyping, research, and proof-of-concept development.
• Define and prove a scalable, repeatable pattern for delivering AI solutions across the organisation.
• Build reusable components, accelerators, and tools to increase delivery speed and consistency.
• Evaluate emerging AI technologies and introduce best-fit approaches into engineering practice.
• Champion AI-assisted development techniques including vibe coding, agentic development, and AI-driven testing.
• Mentor and upskill developers as AI delivery expands into the wider engineering team.
• Contribute to product and delivery strategy, identifying opportunities to package AI capabilities.

Technologies:

• Agentic AI
• AI
• Azure
• C#
• CI/CD
• Cloud
• Copilot
• Cursor
• FastAPI
• GitHub
• Support
• LLM
• MCP
• Python
• RAG
• React
• ASP.NET
• NodeJS

More:

We are a leading UK technology and managed services organisation delivering modern cloud, data, AI, and application solutions. We help our customers unlock the full potential of Microsoft-aligned innovation, combining strong engineering capability with a people-first culture. This is a hybrid role based in Reading, and you will initially join an innovation-focused team to establish a mature, repeatable pattern for AI delivery before transitioning into the wider delivery function to scale these practices across multiple projects and teams. We offer a values-driven, collaborative, and growth-focused environment with genuine investment in employee development, wellbeing, and long-term career progression. Benefits include structured learning pathways, competitive salary progression, generous leave, wellbeing support, health cash plans, volunteering days, life assurance, EV and tech schemes, retail discounts, onsite gyms where available, and regular social events.

last updated 40 week of 2026