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
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