About the role
We are looking for a Junior/Mid Full-Stack Developer (AI-First) who is passionate about using AI to build practical business solutions. You will play a key role in designing, developing and deploying AI-powered assistants, automations and internal tools that improve efficiency across the business.
Working closely with business stakeholders, you will rapidly transform ideas into prototypes and production-ready solutions using modern AI technologies, automation platforms and API integrations. We are looking for someone who enjoys solving problems, embraces AI-assisted development, and focuses on delivering business value through simple, scalable solutions.
Key Responsibilities:
* Design, build and maintain AI assistants, AI agents and workflow automations to support internal business operations.
* Develop and manage automation workflows using n8n or similar automation platforms.
* Build solutions using OpenClaw or similar AI agent frameworks.
* Integrate internal systems and third-party applications through REST APIs, webhooks and OAuth.
* Develop lightweight full-stack applications using modern frontend technologies together with TypeScript and/or Python.
* Work with Large Language Models (LLMs), including OpenAI, Anthropic, Gemini and similar platforms.
* Design prompts, implement structured outputs, manage context and develop effective tool-calling workflows.
* Build, test and deploy applications using Docker and modern deployment practices.
* Collaborate with business teams to understand requirements and rapidly deliver prototypes and production-ready solutions.
* Ensure solutions are secure, reliable, well-logged and include appropriate permission controls and error handling.
* Continuously evaluate emerging AI technologies and recommend improvements that enhance productivity and business performance.
Requirements
Talent Profile:
* Practical experience with n8n and AI-powered workflows
* Experience with OpenClaw or similar AI agent frameworks
* Experience with OpenAI, Anthropic, Gemini, or other LLM APIs
* Understanding of tool calling, structured outputs, prompts, and context management
* TypeScript or Python
* REST APIs, webhooks, OAuth, and third-party integrations
* Basic frontend and database development
* Docker and basic application deployment
* Understanding of AI-agent security, permissions, logging, and error handling
* Experience with RAG, vector databases, PostgreSQL, or building custom n8n nodes would be considered an advantage