AI-Native Full Stack Engineer
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Job Description
Join Yia as an AI-native full stack software engineer helping small businesses leverage AI technology. Shape product development in a flexible part-time role in a startup environment.
Responsibilities:
- You’ll be a core builder, helping take the product from 0→1.
- 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.
- 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.
- 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.
- Experience building multi-agent loops that include 'self-correction' and 'tool-calling.'
- 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.
- 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.
Benefits:
- Mentorship & Learning
- Flexible Engagement
- Growth Potential
- Mission-Driven Work
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