Workeron.AI招聘CTO/工程总监（动手实践，AI代理）在乌克兰 | LinkedIn

Turn Workeron.ai into a factory of AI agent solutions: Design the architecture of the platform and the "agent factory", Build and lead the engineering team, Be hands-on in rapid product iterations and rebuilds, Bring 1 to 2 product lines to stable, repeatable sales. Technology leadership: Design the target architecture: agent core, orchestration, integrations, billing, security. Choose the stack: LLM providers, vector stores, orchestrators, low code tools, observability. Define standards for code, reviews, deployment, and monitoring. Hands-on development: Write code with the team on critical paths, Build the first versions of the platform and 2 to 3 key agent MVPs, Rapidly rebuild and improve solutions based on tests and customer feedback. Product and founder collaboration: Work with the CEO and product team to turn hypotheses into concrete technical solutions. Propose your own product and feature ideas based on what is feasible and valuable. Balance speed of experimentation with reliability of production. Team and processes: Hire and grow a core team of 2 to 4 engineers (low code, fullstack, data, ML). Set up CI/CD and environments for fast PoCs and stable MVPs. Establish an operating rhythm: tech planning, prioritization, demos, retros. Expected outcomes: After 1 month: You have a clear grasp of Workeron.ai vision, hypotheses, and target segments. Together with the team you have delivered 4 agent systems as MVPs for 4 existing hypotheses. Basic technical groundwork for further scaling these agents is documented and understood. After 3 months: One product direction has been chosen as the main bet based on tests and traction. For this direction you have built a scalable product version: stable architecture, reproducible deployment, logging, monitoring, basic security and multi-tenant readiness where needed. The product is ready to onboard paying customers at scale. Requirements: 6+ years of software development experience, 2+ years as tech lead or CTO in a product company or strong agency. Strong fullstack or backend engineering background in SaaS products. Practical experience with LLMs and AI: OpenAI, Anthropic, local models, vector databases, agents, orchestrators. Ability to design system architecture, not only single services. Bias to speed: you can ship PoCs in days and MVP in weeks not months, and know how to clean them up later. Experience hiring and leading a small engineering team. Comfortable translating business and product language into technical plans and estimates. Background in building internal platforms or SDKs. Early stage startup experience.

6+ years of software development experience, 2+ years as tech lead or CTO in a product company or strong agency. Strong fullstack or backend engineering background in SaaS products. Practical experience with LLMs and AI: OpenAI, Anthropic, local models, vector databases, agents, orchestrators. Ability to design system architecture, not only single services. Bias to speed: you can ship PoCs in days and MVP in weeks not months, and know how to clean them up later. Experience hiring and leading a small engineering team. Comfortable translating business and product language into technical plans and estimates. Background in building internal platforms or SDKs. Early stage startup experience.

A near cofounder role with real influence on product, technology, and company strategy. Freedom to build your dream architecture and team from scratch. Direct work with the founder, no corporate bureaucracy. Remote first and flexible schedule. Equity: Base compensation in cash. Equity or options package tied to clear milestones, for example: Launch of the first platform version. First paying customers on agents. Hitting a defined MRR or profitability target. Exact structure and size of equity are open to discussion and tied to real contribution and results.

Workeron.ai is a product company that builds AI agents and digital employees for business. We do not build abstract AI. We build real workers on AI who take over concrete tasks in operations, analytics, and management.