At a Glance
- Tasks: Design and develop cutting-edge AI applications using modern technologies.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic work environment with endless learning and career advancement opportunities.
- Why this job: Be part of a team that shapes the future of AI and makes a real impact.
- Qualifications: Strong Python skills and experience with AI frameworks like LangChain and OpenAI.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a highly skilled and innovative AI Developer to design, develop, and deploy advanced AI-powered applications using modern LLM, RAG, and Agentic AI architectures. The ideal candidate will have strong hands-on experience in Python-based AI development and practical exposure to frameworks such as LangChain, LangGraph, and OpenAI ecosystems.
You will play a key role in building scalable AI solutions, implementing Retrieval-Augmented Generation (RAG) systems, developing AI agents, and integrating embeddings with vector databases.
Key Responsibilities- AI & LLM Development
- Design and implement AI applications using Large Language Models (LLMs).
- Integrate OpenAI APIs and other foundation models into production systems.
- Develop and optimize prompt engineering strategies for accuracy and performance.
- Build and deploy scalable AI services and APIs.
- RAG & Knowledge Systems
- Design and implement Retrieval-Augmented Generation (RAG) pipelines.
- Develop ingestion pipelines for document processing and embedding generation.
- Implement semantic search using vector databases.
- Optimize chunking strategies, embeddings, and retrieval logic.
- Agentic AI & Orchestration
- Build intelligent AI Agents using LangChain and LangGraph.
- Implement state management, multi-step workflows, and tool integrations.
- Design agentic workflows for task automation and decision-making.
- Work with specification-driven development approaches for AI systems.
- Embeddings & Vector Databases
- Generate embeddings using OpenAI or other embedding models.
- Implement and manage vector databases (e.g., FAISS, Chroma, Pinecone, etc.).
- Optimize similarity search performance and retrieval strategies.
- AI Architecture & Integration
- Develop AI-driven microservices using Python.
- Integrate AI Foundry or enterprise AI platforms into enterprise solutions.
- Ensure scalable, secure, and maintainable AI architectures.
- Implement monitoring, evaluation, and observability for AI models.
- Engineering Best Practices
- Follow specification-driven development methodologies.
- Write clean, modular, and testable Python code.
- Conduct code reviews and maintain high engineering standards.
- Collaborate with cross-functional teams (Product, DevOps, Data).
- Python (Advanced proficiency)
- LangChain
- LangGraph
- AI Agent Development
- Embeddings & Vector Databases
- OpenAI API Integration
- Large Language Models (LLMs)
- AI Foundry Platforms
- Prompt Engineering
- Specification Driven Development
- Retrieval-Augmented Generation (RAG)
- Experience with FAISS / Chroma / Pinecone / Weaviate
- Experience building REST APIs (FastAPI / Flask)
- Understanding of Transformer architecture
- Experience with cloud platforms (Azure / AWS / GCP)
- Knowledge of CI/CD for AI systems
- Experience with evaluation frameworks for LLMs
- Exposure to fine-tuning or model optimization techniques
- Strong analytical and problem-solving ability
- Ability to translate business requirements into AI solutions
- Excellent communication skills
- Self-driven and innovative mindset
- Ability to work in fast-paced environments
AI Developer in Reading employer: Diagonal Matrix Ltd
Join a forward-thinking company that prioritises innovation and employee growth, offering a dynamic work culture where creativity thrives. As an AI Developer, you will have access to cutting-edge technologies and frameworks, alongside opportunities for professional development in a collaborative environment. Located in a vibrant tech hub, the company fosters a supportive atmosphere that encourages continuous learning and meaningful contributions to advanced AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Developer in Reading
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Diagonal Matrix Ltd or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Diagonal Matrix Ltd.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Diagonal Matrix Ltd.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Diagonal Matrix Ltd that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Developer in Reading
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Diagonal Matrix Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Diagonal Matrix Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Diagonal Matrix Ltd
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Diagonal Matrix Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
