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 Jordan@accelerogroup.co.uk for more information.