Lead AI Engineer

Block Labs is a premier technology studio specializing in Web3, Artificial Intelligence, and iGaming. This role involves building AI automation systems and establishing foundational architecture for AI-driven platforms as the company's first AI hire. You will design multi-agent workflows, reasoning pipelines, and orchestration logic that power next-generation intelligent products.

• Lead development of AI automation systems including multi-agent workflows, orchestration logic, and structured reasoning processes
• Design foundational architecture for AI-driven platforms and establish engineering patterns for future teams
• Build core components such as retrieval flows, decision-making pipelines, evaluation layers, safety controls, and human-in-the-loop mechanisms
• Define approaches for agentic workflows, inter-process coordination, and deterministic execution of complex tasks
• Develop verification and trust layers including fact-checking pipelines, validation logic, guardrails, and output monitoring
• Collaborate with backend and data engineering teams to integrate AI systems with APIs, services, and data pipelines
• Ensure all AI components are measurable, observable, and reliable with established SLAs and operational metrics
• Guide model selection, fine-tuning strategy, retrieval and memory approaches, and evaluation methodologies
• Contribute to architectural planning, system documentation, and strategic technical direction
• Maintain visibility into AI operational costs and support scalability planning

• Several years of experience building and deploying ML or LLM-powered systems in production environments
• Proven experience developing multi-step or agentic workflows including orchestration, retrieval, tool use, and safety layers
• Strong engineering skills in Python or another backend language with track record of delivering production systems
• Understanding of distributed system design, microservices, workflow automation, and event-driven architectures
• Ability to design architectural foundations while implementing systems to validate them
• Comfortable operating as the first AI engineer and making decisions that shape long-term platform direction
• Skilled at converting unclear or complex requirements into predictable, observable, and maintainable systems
• Pragmatic, ownership-driven mindset with passion for building intelligent, reliable, and scalable automation

Culture: Mature, mission-driven, and low-ego environment that values clarity over noise, outcomes over theatrics, and pace without chaos. The team consists of senior engineers, product strategists, and builders who refuse to compromise on architecture.