Applied AI Engineer

TL;DR

Applied AI Engineer: Building the platform that gives users AI-driven access to blockchain investigation and compliance products with an accent on agent runtime, execution infrastructure, and tool and skill systems. Focus on designing how agents discover and use capabilities across hirify.global's product suite, building sandboxed execution environments, and driving AI quality, cost, and observability.

Location: Hybrid (Aarhus, Denmark)

Company

hirify.global provides complete knowledge of what’s happening on blockchains through our data, services, and solutions.

What you will do

• Design and build the agent platform end to end, from the context and tool layer through the execution runtime to the interfaces that expose results to users.
• Own the skill architecture, designing how agents discover, learn about, and invoke capabilities across hirify.global's product suite.
• Build and operate sandboxed execution environments where agent-generated code runs with tenant-level security boundaries and durable file persistence.
• Ship full-stack features across frontend, backend, skill libraries, and infrastructure.
• Develop the workflow platform that lets users automate complex processes beyond single conversations.
• Drive AI quality, cost, and observability, including multi-model orchestration, context window management, and prompt engineering.

Requirements

• Built and shipped full-stack features across frontend, backend, and infrastructure, with demonstrated ownership from design through production operation.
• Worked with LLMs in production and formed real opinions from it.
• A working understanding of how to structure what an agent knows and can do within the constraints of a context window.
• Deep backend engineering fundamentals in a typed language: concurrency, error handling, state management, and system design.
• Built or operated systems with real security constraints, tenant isolation, scoped credentials, or sandboxed execution.
• Delivered frontend experiences with a modern stack, component architecture, data fetching, and real-time streaming.

Nice to have

• Designed tool interfaces or capability systems for AI agents, skills, function schemas, or similar patterns for giving models structured access to external systems.
• Worked with the Effect ecosystem or strongly-typed functional programming in TypeScript.
• Built multi-tenant platforms or systems with enterprise security requirements.
• Experience in Python library development or designing SDKs for programmatic consumption.
• Worked within Blockchain, compliance, or financial services domains.

Culture & Benefits

• Diversity of experience and thought makes us stronger.
• Committed to ensuring our team reflects the unique communities around us.
• Encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more.