AI Engineer

Location: Fully Remote

Salary: Up to $150,000

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.**