As an AI Solution Engineer, youll help shape how AI-driven automations are applied across our internal systems. Youll build and operate AI agents and workflows that connect data, tools, and processes, enabling teams across the organization to work more efficiently at scale.
Youll work closely with IT and platform stakeholders, as well as teams across the company, combining AI capabilities with automation tools, APIs, and code to deliver solutions that move from experimentation to reliable, long-term operation.
What will you actually be doing?
Design and develop AI automations, agents, and agentic workflows that automate and augment internal business processes.
Develop and maintain integrations and workflows using tools like n8n, Workato, and other automation or orchestration platforms.
Write JavaScript-based logic (and Python where relevant) to extend low-code/no-code tools, integrate APIs, and orchestrate AI-driven flows.
Build scalable, secure, and reliable automations, including monitoring, logging, and guardrails for AI behavior.
Implement advanced prompting and agent patterns, such as structured outputs, tool/function calling, and RAG.
Optimize workflows using data, telemetry, and feedback to improve reliability, performance, and business impact.
Collaborate closely with the IT team to ensure solutions align with enterprise architecture, security, and compliance standards.
**Engagement will initially be via an employment agency for the first few months, with the possibility of transitioning to direct company employment at a later stage
2-4 years of experience as a Business Applications/Web Developer, IT/System Engineer, Automation Engineer, or AI-focused Solution Engineer, or equivalent hands-on project experience.
Practical experience working with LLMs, AI agents, and RAG-based solutions, and connecting them to real-world business workflows.
Strong experience with APIs, webhooks, and system integrations.
Hands-on experience with JavaScript for building and extending applications or integrations (Python is a plus).
Experience working with low-code/no-code automation tools such as n8n, Workato, Make, or similar platforms.
Curiosity and motivation to create AI-driven helpers and automation experiences that streamline how employees work and interact with internal systems.
Strong problem-solving and self-learning abilities, with a hands-on approach to tackling complex challenges and delivering real solutions.
Strong communication skills, with the ability to clearly convey technical ideas and solutions to a wide range of audiences.
