Technical Co-Founder / AI Engineering Lead

Innoxsea — Singapore · Posted ~1 week ago

Lead Full-time

Skills

Backend Engineering Full-stack Development AI Agents RAG Data Pipelines APIs Cloud Deployment System Architecture Databases Cloud

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Summary

Lead the technical vision of an early-stage AI venture by building core platform capabilities, scalable data systems, intelligent agent workflows, and the initial engineering organization.

Highlights

Founder-level ownership with significant equity, responsibility for product and engineering direction, and the opportunity to build an enterprise AI platform from the ground up.

Description

Technical Co-Founder / Director / AI Engineer Lead Enterprise AI, Data & Agent Systems About Innoxsea Innoxsea is a Singapore-based startup building an AI-powered enterprise intelligence platform for life sciences and cross-border innovation. We are looking for a full-time Technical Co-Founder / Director / AI Engineer Lead (mainly equity-based) — a hands-on, 0-to-1 builder who can take ownership of our technical architecture, core product and early engineering team. What You Will Own Define the technical architecture and product roadmap.Build critical backend, data and AI components.Develop reliable data pipelines, hybrid retrieval and knowledge-intensive workflows.Build production-grade AI agent capabilities with traceability, evaluation and observability.Establish engineering standards for testing, deployment, security and monitoring.Translate real industry workflows into practical product capabilities.Recruit and lead the initial engineering team as company grows.Work closely with the founder on product strategy, technical partnerships and company building.Support fundraising. What We Are Looking For Strong HANDS-ON experience in backend engineering, full-stack engineering, data platforms, business intelligence or applied AI.Experience building systems involving RAG, AI agents, search, knowledge systems or complex data workflows.Strong understanding of databases, APIs, data pipelines, cloud deployment and system reliability.Evidence of building products from an early stage—not only maintaining mature systems.Ability to make sound architecture decisions, write high-quality core code and gradually build a small engineering team.Strong working English and the ability to collaborate across international markets.Readiness to commit full-time to an early-stage venture. Exceptional recent PhD graduates who have built substantial AI systems or products are also welcome to apply. Nice to Have Experience in life sciences or healthcare vertical is highly preferred.Experience with knowledge graphs, entity resolution or ontologies.B2B SaaS or multi-tenant enterprise product experience.Open-source contributions or independently built technical products.Previous experience as a technical founder, founding engineer or Staff/Principal Engineer. What We Offer Meaningful founder-level equity.Genuine ownership of architecture, product and engineering decisions.The opportunity to build a differentiated enterprise AI product from the ground up.