Summary

What You’ll Do:

• Own multiple projects from end to end: brainstorming product concepts, generating POCs to be evaluated and owning builds to reach a minimum viable product.
• Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring).
• Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring, classification), plus LLM/agent workflows and evaluation loops
• Establish engineering standards: code quality, CI/CD hygiene, logging/analytics, basic security
• Work directly with design partners and ship weekly updates

Requirements

• You should have:

  • 3 years shipping full-stack products end-to-end
  • Strong Python and modern web stack (React/Next.js APIs DB deployments)
  • Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model evaluation)
  • Experience experimenting with LLMs and Agent frameworks (Open AI SDK, Google ADK, Langchain/Langraph, MCP)
  • Comfort with ambiguity, fast cycles, and customer-facing iteration

• What Success Looks Like:

  • Ship multiple POCs that clearly validate feasibility and ROI
  • Bring at least one concept to a usable MVP with design-partner feedback loops