Lead Ai Engineer

Join to apply for the Lead AI Architect role at Block LabsOverviewBlock Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming.We engineer high-scale, production-grade platforms that power the next generation of digital products, from autonomous multi-agent AI systems to decentralized financial infrastructure and high-frequency iGaming platforms.We move fast but build for the long term.If you thrive on deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong.The RoleAs Lead AI Architect you will design the AI foundation for several automation-focused products.You will define how the system gathers information, reasons about it, checks its own work, escalates to humans when needed, and handles uncertainty without breaking.Key ResponsibilitiesOwn and evolve the strategy, architecture, and execution of AI-driven automation across the organization, focusing on multi-agent systems and end-to-end orchestration.Provide hands-on technical leadership, working with engineering leads to set standards, patterns, and best practices for deploying LLM-powered services.Design scalable AI architectures incorporating model orchestration, agent frameworks, retrieval pipelines, evaluation systems, and human-in-the-loop workflows.Lead implementation of agentic frameworks (e.g., LangGraph, LangChain, AutoGen, CrewAI) for task delegation, inter-agent communication, and deterministic reasoning paths.Define and maintain a robust "trust layer" with fact-verification, retrieval-augmented generation, validation logic, guardrails, and safety controls.Partner with backend and data engineering teams to integrate AI systems with data pipelines, internal APIs, and event-driven architectures.Ensure AI services are observable, measurable, and tuned for both performance and accuracy, defining SLAs and operational metrics.Guide model selection, fine-tuning, vector search usage, and knowledge-graph integration where required.Oversee architecture reviews, documentation standards, and long-term AI platform scalability.Collaborate closely with security stakeholders to ensure safe, compliant, and privacy-aware operation of all AI systems.Represent the AI function in cross-company planning, roadmap discussions, and technical leadership forums.Maintain visibility into the cost profile of AI systems and ensure design choices support predictable spend, scalability, and long-term sustainability.About YouSeveral years of experience building and deploying ML or LLM-based systems in production environments.Proven experience architecting agentic or multi-step AI workflows, including orchestration, tool use, retrieval, and safety layers.Deep understanding of modern LLM frameworks, vector databases, and retrieval pipelines (e.g., Pinecone, Weaviate, pgvector).Familiarity with workflow orchestrators (e.g., Temporal, Dagster, Airflow) and event-driven system design.Experience implementing content-safety, compliance, or guardrail systems is a strong advantage.Strong understanding of distributed architectures, microservices, and system interdependencies.Experience collaborating with cross-functional teams and communicating complex technical concepts with clarity.Comfortable leading architecture discussions, making strategic technical decisions, and mentoring engineering teams.A proactive, ownership-driven mindset with a passion for building reliable, intelligent, and scalable AI platforms.CultureMature, mission-driven, and low-ego.We value clarity over noise, outcomes over theatrics, and pace without chaos.If you're one of the smartest minds in your craft and want to build with other experts, you'll feel at home here.#J-*****-Ljbffr