Founding Technical Lead

Alchemy Worx • New York, NY

1d • $160 - $200

About The Position

About Us Daat Lab is an AI venture studio that collaborates directly with businesses to transform deep domain expertise into valuable, commercial-grade AI products. We assist companies in identifying and validating high-impact, AI-feasible use cases. Our process spans from initial ideation and building a proof of concept to developing a fully commercializable product and successfully launching it in the market. We maintain an active presence across multiple sectors, including real estate, digital marketing/e-commerce, and health, with an ambitious goal of adding one new product to our portfolio every month. About the Role We are seeking a Technical Lead to drive product development from initial concept to launch, maintaining a strong customer focus. This is a highly hands-on role where you will thrive in ambiguity and be responsible for the full product lifecycle across multiple projects simultaneously. You will collaborate directly with our strategy and business teams to identify high-value, AI-feasible opportunities and influence product direction through rapid execution, including discovery, prototyping, building, shipping, and iteration.

Requirements

• 6+ 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 building with LLMs and Agent frameworks (Open AI SDK, Google ADK, Langchain/Langraph, MCP)
• Comfort with ambiguity, fast cycles, and customer-facing iteration
• Team leadership experience (manager/tech lead)

Responsibilities

• 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
• Mentor/hire as the team grows

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed