Full Stack AI Developer

• You have professional experience across Node.js, React, and PHP/Laravel.

• You have a strong technical intuition regarding AI agents, specifically how LLMs interact with external tools and structured data.

• You are comfortable working with streaming data, webhooks, and asynchronous background jobs.

• You understand the importance of observability-building systems that make it easy to see why an agent made a specific decision.

• You thrive in a fast-paced startup environment and enjoy the autonomy of owning features from conception to deployment.

• Experience with vector databases (Pinecone, Weaviate) or RAG (Retrieval-Augmented Generation).

• Familiarity with AI orchestration frameworks like LangChain or custom Node-based agent loops.

• A background in building SaaS products where reliability and data security are paramount.

• Build at the cutting edge of AI, moving beyond simple chat interfaces into the world of autonomous agents.

• Work in a high-energy, "no-red-tape" environment where your code hits production and impacts users immediately.

• Join a rapidly scaling team in our Leeds office with a flexible hybrid working model.

• Direct influence on the technical stack and architectural decisions as we grow.

We are looking for a Full Stack Developer to help build and scale our AI agent platform. You will be responsible for developing the features that allow our agents to "think" and "act" across our customers' ecosystems. This is a role for a builder who is excited by the challenge of integrating LLMs into robust, production-ready web architectures using Node.js, React, and Laravel.

• Build and optimize the agentic logic layer in Node.js, handling prompt orchestration, tool-calling, and streaming API responses.

• Develop secure and scalable backend services in Laravel to manage user data, agent permissions, and third-party integrations.

• Create high-performance React dashboards that allow users to monitor agent logs, approve autonomous actions, and visualize AI "thought processes."

• Implement "human-in-the-loop" systems, ensuring that our AI agents operate within safe and auditable guardrails.

• Design and maintain the APIs that connect our AI engine to the frontend and external databases.

• Collaborate with the team to move experimental AI features into stable, customer-facing products.