Technical Lead - AI Systems & Platform

About the role

LookRoom AI, a US-based AI startup, is looking for a Technical Lead to work directly with the founders and product team. You will turn product requirements and business objectives into technical solutions and lead engineering from architecture and technology selection through implementation, deployment and continuous improvement. The role is equity-based and hybrid during the pre-MVP stage.

Key responsibilities

• Define and lead the technical architecture, including technology choices, development standards and long-term architectural decisions.
• Build the AI infrastructure: LLM and multimodal AI, AI orchestration, context and memory management, AI agents, embeddings, vector databases, recommendation systems and their evaluation and optimization.
• Oversee the core product: digital wardrobe, user profiles, authentication, avatar generation, image processing, daily outfit recommendations and conversational AI.
• Lead the engineering team, set code review and quality practices, break down requirements into milestones and remove blockers.
• Establish cloud, database, Docker, CI/CD, caching, monitoring, API security and data protection practices.

Required profile

• Strong experience in software architecture, backend development and cloud infrastructure; previous Tech Lead, Technical Architect, Engineering Lead, Senior Software Engineer or early-stage startup CTO experience is relevant.
• Experience integrating AI into real applications, such as LLM APIs, RAG, vector databases, AI agents and recommendation systems.
• Comfortable using AI-assisted development tools (Cursor, Claude Code, GitHub Copilot) while keeping full ownership of architecture, security, testing and reliability.
• Ability to lead and mentor developers, make independent architectural decisions and communicate technical concepts to non-technical stakeholders.

Required skills

• Backend with Python, Node.js, TypeScript or Express; REST and/or GraphQL APIs.
• SQL and NoSQL databases, Docker, microservices or modular monoliths.
• CI/CD pipelines, caching, queues and async processing, observability.
• Cloud infrastructure (AWS, GCP or Azure).

What we offer

• Equity-based compensation during the pre-MVP stage, with a hybrid work model.
• Full-time, on-site position with salary plus equity after MVP, depending on experience and milestones.
• Direct collaboration with the founders and ownership of the technical foundation.