AI Engineer Location: Fully Remote Salary: Up to $230,000 We have partnered with a fast-growing, product-led technology company building AI-powered systems to supercharge internal teams and deliver intelligent customer-facing solutions. As the business scales, they’re hiring an AI Engineer to design and ship high-impact AI systems across internal tooling, developer experience, and production-grade customer applications. What You’ll Do as an AI Engineer: Design and ship AI-powered internal tooling that increases productivity across all teams. Build AI-enhanced developer workflows, coding assistants, and automation systems. Develop and maintain customer-facing AI support pipelines and production LLM systems. Architect and scale Retrieval-Augmented Generation (RAG) systems for large knowledge bases. Design and orchestrate agent and multi-agent architectures for complex task execution. Integrate LLMs via providers such as OpenRouter, optimising for cost, latency, and performance. Fine-tune domain-specific LLMs and continuously improve model performance. Build and maintain workflow automation pipelines using tools like n8n and LangChain. Implement LLM observability and monitoring across production systems. Continuously evaluate emerging models, frameworks, and AI tooling to keep the company at the cutting edge. What We’re Looking For in an AI Engineer: Proven experience shipping AI systems into production environments. Strong proficiency in Python and/or TypeScript/JavaScript. Deep experience with LangChain, RAG systems at scale, and LLM fine-tuning. Hands-on experience building agent or multi-agent architectures. Experience with workflow automation tools such as n8n. Strong understanding of model selection across providers and cost/performance trade-offs. Familiarity with LLM observability tools (e.g. LangFuse, Weights & Biases). Comfortable with basic DevOps and deploying AI systems reliably. A product manager mindset — proactively identifying opportunities, understanding real user needs, and driving adoption of internal tooling. Nice to Have's as an AI Engineer: Experience with voice AI or multimodal systems. Contributions to open-source AI projects. Experience working with AI-native developer tools and modern AI IDE workflows. This is a rare opportunity for an AI Engineer to architect and scale AI systems at the core of a company’s operations, directly influencing productivity, product capability, and long-term technical strategy. Unfortunately, due to high volume of applications, not all submissions will receive feedback.