Full-Stack Developer (AI-First) – Junior/Mid-Level

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.

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