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

About the role

We are seeking a Junior to Mid‑Level Full‑Stack Developer with a strong focus on AI‑first solutions. You will work closely with business stakeholders to turn ideas into prototypes and production‑ready tools that boost efficiency across the company.

Key responsibilities

• Design, build and maintain AI assistants, agents and workflow automations for internal operations.
• Develop automation workflows using n8n or similar platforms.
• Create solutions with OpenClaw or comparable AI‑agent frameworks.
• Integrate internal and third‑party systems via 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 (OpenAI, Anthropic, Gemini) – design prompts, manage context, and implement tool‑calling workflows.
• Build, test and deploy applications using Docker and modern deployment practices.
• Collaborate with business teams to deliver rapid prototypes and production‑ready solutions.
• Ensure solutions are secure, reliable, well‑logged and include proper permission controls and error handling.
• Continuously evaluate emerging AI technologies and recommend improvements.

Required profile

• Practical experience with n8n and AI‑powered workflows.
• Experience with OpenClaw or similar AI‑agent frameworks.
• Hands‑on work with OpenAI, Anthropic, Gemini or other LLM APIs.
• Understanding of tool‑calling, structured outputs, prompt engineering and context management.
• Proficiency in TypeScript or Python.
• Experience with REST APIs, webhooks, OAuth and third‑party integrations.
• Basic frontend and database development skills.
• Familiarity with Docker and basic application deployment.
• Knowledge of AI‑agent security, permissions, logging and error handling.
• Experience with RAG, vector databases, PostgreSQL or building custom n8n nodes is a plus.

Required skills

• n8n
• OpenClaw
• OpenAI API
• Anthropic API
• Gemini API
• Large Language Models (LLMs)
• TypeScript
• Python
• REST APIs
• Webhooks
• OAuth
• Docker
• Modern frontend technologies
• PostgreSQL
• Vector databases
• RAG (Retrieval‑Augmented Generation)