Artificial Intelligence Engineer

Role:AI Engineer

Salary:£60,000 to £65,000+ Benefits

Location:Fully remote

Join our fast-growing tech scale up company to develop robust, scalable, and intelligent agentic systems that integrate seamlessly into software development lifecycles (SDLC). Lead the charge in developing LLM-powered agents, assistants, custom tooling for developers, and AI automation frameworks.

This is a hands-on role that combines software engineering, ML experimentation, and AI product innovation. You’ll be empowered to shape agent architecture, explore cutting-edge frameworks like LangChain and LlamaIndex, and be responsible for operationalising high-performance, real-time AI systems.

Key Responsibilities:

• LLM Agent Development:Design and build intelligent, multi-step LLM agents using frameworks like LangChain, LangGraph, LlamaIndex, etc.
• AI Assistant & Tool Innovation:Build AI-powered agents, assistants, and tools to streamline workflows and enhance productivity.
• AI Engineering:Build, test, and optimize generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models.
• Prompt Engineering:Craft, iterate, and test prompt strategies to improve accuracy and responsiveness.
• Cross-Functional Collaboration:Partner with engineering, product, and QA teams to deliver agent-led automation solutions.
• Prototyping & R&D:Drive rapid prototyping of LLM-based solutions, develop PoCs, and validate ideas.
• Responsible AI:Promote safe, ethical, and transparent AI practices.
• AI Advocacy:Lead workshops, demos, and documentation efforts to evangelize AI agent capabilities.

Experience:

• Agentic Experience:Hands-on experience with frameworks like LangChain, LangGraph, or similar.
• Deep AI Knowledge:Strong foundation in AI/ML concepts, especially around LLMs, prompt engineering, embeddings, and vector search.
• Engineering Excellence:Fluency in Python and TypeScript. Able to write robust, testable production code.
• Product Thinking:Ability to translate user needs into functional AI experiences.
• Cloud & Data Skills:Strong exposure to cloud platforms (Azure/AWS/GCP).
• Model Deployment:Experience evaluating, fine-tuning, and deploying LLMs in production.
• Collaborative Spirit:Able to work in a highly cross-functional and fast-paced environment.
• Experimentation Mindset:Passion for testing ideas, building rapidly, and learning from experiments.

If interested, please apply with an up to date CV or email for more information.