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.
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