Job description

ABOUT HUBS At Hubs, we're building the intelligence layer for organizations — where anyone can build AI solutions that spread and compound across the org. Our team is growing, fast-moving, and ambitious — led by multi-exit Silicon Valley entrepreneurs with a strong track record of creating products that shape how people work. Along the way, we get to work with some of the most exciting parts of technology today — autonomous AI, innovative UIs, and reactive dataflows. It's the kind of work where the engineering itself feels fresh and creative, with room for invention and curiosity. Joining Hubs means working on problems that matter. You'll be building for yourself, your peers, and millions of professionals navigating the shift from pre-AI to AI-first work. The products you create will be visible, widely used, and part of a broad societal transformation in how knowledge work gets done. ABOUT THE ROLE We’re looking for an Agentic Platform Architect who, as a core team member, would build and further scale our AI automation platform. This is a hands-on role with architectural responsibility — ideal for someone with technical leadership experience who has taken a product from early stage to scale and knows how to balance speed with long-term stability. The work centers on three pillars: a next-generation agentic harness that orchestrates autonomous AI behavior, a semantic knowledge layer that gives agents structured, queryable context; and a reactive, actor-based execution engine that makes automation feel seamless and alive at scale. RESPONSIBILITIES - Design and scale the agentic harness — the orchestration layer that plans, routes, and executes autonomous agent workflows reliably. - Architect the semantic knowledge base that models organizational knowledge and gives agents structured, retrievable context. - Build and evolve a reactive, actor-based execution engine for concurrent, event-driven agent execution with strong isolation and resilience. - Architect distributed systems with instrumentation that scale reliably and efficiently. - Collaborate with frontend, product, and devops teams to ensure seamless integration. - Architect for scale, performance, and efficiency at the logic, network, and database layers. - Lay foundations for high-quality distributed services that can evolve and grow as we scale out. REQUIREMENTS We’re looking for a backend engineer who is both highly technical and pragmatic, excited to use AI tools to amplify their output and ship better products faster. You should bring: - Agentic Systems: Experience designing agent orchestration, planning/execution loops, or autonomous AI workflows — and a strong understanding of when and how to apply different LLMs. - Semantic & Knowledge Modeling: Familiarity with knowledge graphs, ontologies, or semantic data models, and how to represent and query structured knowledge for AI systems. - Concurrency & Reactive Architecture: Strong grasp of actor-based or reactive concurrency models, event-driven design, streaming APIs, and websockets. - Backend & Architecture: Strong experience with Node.js and frameworks like Nest.js or Express, plus a solid grasp of distributed systems, scaling patterns, microservices, and cloud infrastructure. - Databases: Hands-on expertise with both relational (Postgres) and document (MongoDB) databases - Productization Experience, Collaboration & Ownership, Critical Thinking & Communication, Pragmatism. SKILLS & QUALIFICATIONS - Experience Level: 5+ years of backend development, focusing on data systems and high-traffic web applications. - Languages & Technologies: TypeScript, Node.js, Python. - Databases: PostgreSQL and MongoDB at scale. - Performance optimization: Experience using observability tools, debugging, and performing root cause analysis. - Data Pipelines: Experience building scalable asynchronous pipelines, especially for language/AI data. - DevOps & Tools: Git, CI/CD processes; familiarity with Datadog, Digital Ocean, and/or GCP is a plus. If you’re excited about building a product with potential for tremendous impact at the leading edge of AI-first productivity and collaboration, we’d love to hear from you! BENEFITS At Hubs, we’re committed to building not just transformative products, but also a place where ambitious builders can thrive. You’ll join a fast-moving, design-obsessed team where your ideas have real impact from day one. We offer a competitive salary, a chance for participation in upside via stock plans, and the flexibility of a remote-first environment. As an early member of the engineering team, you’ll help shape both our product and our culture, working alongside passionate people who care deeply about craft, autonomy, and creating experiences users love.

Requirements

Must-haves

Design and scale the agentic harness — the orchestration layer that plans, routes, and executes autonomous agent workflows reliably.
Architect the semantic knowledge base that models organizational knowledge and gives agents structured, retrievable context.
Build and evolve a reactive, actor-based execution engine for concurrent, event-driven agent execution with strong isolation and resilience.
Architect distributed systems with instrumentation that scale reliably and efficiently.
Collaborate with frontend, product, and devops teams to ensure seamless integration.
Architect for scale, performance, and efficiency at the logic, network, and database layers.
Lay foundations for high-quality distributed services that can evolve and grow as we scale out.
We’re looking for a backend engineer who is both highly technical and pragmatic, excited to use AI tools to amplify their output and ship better products faster. You should bring:
Agentic Systems: Experience designing agent orchestration, planning/execution loops, or autonomous AI workflows — and a strong understanding of when and how to apply different LLMs.
Semantic & Knowledge Modeling: Familiarity with knowledge graphs, ontologies, or semantic data models, and how to represent and query structured knowledge for AI systems.
Concurrency & Reactive Architecture: Strong grasp of actor-based or reactive concurrency models, event-driven design, streaming APIs, and websockets.
Backend & Architecture: Strong experience with Node.js and frameworks like Nest.js or Express, plus a solid grasp of distributed systems, scaling patterns, microservices, and cloud infrastructure.
Databases: Hands-on expertise with both relational (Postgres) and document (MongoDB) databases
Productization Experience, Collaboration & Ownership, Critical Thinking & Communication, Pragmatism.
Experience Level: 5+ years of backend development, focusing on data systems and high-traffic web applications.
Languages & Technologies: TypeScript, Node.js, Python.
Databases: PostgreSQL and MongoDB at scale.
Performance optimization: Experience using observability tools, debugging, and performing root cause analysis.
Data Pipelines: Experience building scalable asynchronous pipelines, especially for language/AI data.
If you’re excited about building a product with potential for tremendous impact at the leading edge of AI-first productivity and collaboration, we’d love to hear from you!

Nice-to-haves

DevOps & Tools: Git, CI/CD processes; familiarity with Datadog, Digital Ocean, and/or GCP is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: ashby
Effort: quick