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- 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.
- 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.
- Other info: Dynamic work environment with endless learning and career advancement opportunities.
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
Contact Detail:
Diagonal Matrix Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer in Reading
✨Tip Number 1
Network like a pro! Connect with folks in the AI space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using LLMs and RAG systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI development questions and coding challenges. Practice explaining your thought process clearly, as communication is key in tech roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented AI Developers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Developer in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and the specific frameworks mentioned in the job description. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI development and how your background makes you a perfect fit for our team. Let us know what excites you about working with LLMs and RAG systems.
Showcase Your Projects: If you've worked on any AI projects, especially those involving embeddings or vector databases, make sure to include them in your application. We love seeing practical examples of your work, so share links or descriptions that highlight your contributions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do!
How to prepare for a job interview at Diagonal Matrix Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the frameworks mentioned, like LangChain and LangGraph. Brush up on your knowledge of LLMs and RAG systems, as you might be asked to discuss how you would implement these in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed AI applications or worked with vector databases. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s Needs
Research the company’s current AI initiatives and think about how your skills can contribute. Be ready to suggest ideas or improvements based on their existing systems, showing that you’re proactive and genuinely interested in their work.
✨Practice Problem-Solving on the Spot
Expect technical questions or coding challenges during the interview. Practice solving problems related to AI development and prompt engineering. This will help you stay calm and confident when faced with unexpected questions.