Responsibilities
- Design and build full-stack systems from scratch, owning features end-to-end from idea to production
- Operate as an AI-native engineer, using tools like Copilot, Gemini, Cursor, Claude and agent-based workflows as a core part of development, focusing more on architecture, logic, and outcomes
- Rethink traditional development workflows using AI, including debugging, testing, documentation, and code generation
- Rapidly prototype and ship features, turning ambiguous ideas into working product in hours or days
- Design and implement core product systems, including APIs, authentication, onboarding, and payment flows with a focus on simplicity for small business users
- Continuously evaluate and integrate new AI capabilities, identifying where agents, automation, or LLM-powered features can create leverage in both the product and internal workflows
- Establish modern engineering practices from day one, optimized for speed, iteration, and maintainability in an AI-augmented development environment
- Collaborate in a high-ownership, low-structure startup environment, where you’re expected to take initiative, challenge assumptions, and move fast without waiting for perfect specs
Requirements
- Expert level in at least one programming language.
- Node.js (specifically for OpenClaw gateway management).
- LangGraph (Mandatory for stateful orchestration) or CrewAI.
- PostgreSQL with pgvector or Supabase (for cross-channel identity resolution).
- Docker (for sandboxing agents) and GitHub Actions.
- Ability to break down ambiguous problems into structured prompts, workflows, or tasks that AI tools can effectively execute
- Agentic Orchestration: Experience building multi-agent loops that include 'self-correction' and 'tool-calling.'
- Model Context Protocol (MCP): Experience using MCP to connect LLMs to local data and third-party APIs securely.
- Ability to debug, test, and validate complex systems, ensuring reliability and clean integrations across services.
- Proficiency in LangSmith or Arize Phoenix for debugging agent 'thought' patterns.
- API Mastery: Deep experience with Anthropic (Claude 3.5 Sonnet) and Tavily AI.
- Experience working in AI-augmented development environments, using tools like Copilot, Cursor, Claude, or similar to significantly accelerate development
- Strong judgment when working with AI-generated code — able to review, validate, refactor, and ensure production-quality outputs
Benefits
- Mentorship & Learning. Work directly with founders
- Flexible Engagement. Part-time, contract-based role with easy-on/easy-off structure
- Growth Potential. Opportunity to evolve into a longer-term role as the company secures customers
- Mission-Driven Work. Build technology that helps small business owners
Work Arrangement
Remote (Country)
Team
Structure: high-ownership, low-structure startup environment
Additional Information
- This is a part-time contract role, based in Colombia, ideal for someone excited to support a meaningful mission on a flexible basis. As we grow, and based on your success, this position has the potential to become a full-time engineer role.
