Full-Time

Agentic Platform Architect

Hubs.is

Hubs.is

No salary listed

Remote in USA

Remote

Category
Software Engineering (2)
,
Required Skills
LLM
Datadog
Express.js
Python
Distributed Systems
Git
Node.js
Nest.js
Postgres
Data Engineering
TypeScript
Microservices
Observability
MongoDB
DevOps
Google Cloud Platform
Requirements
  • Experience designing agent orchestration, planning and execution loops, or autonomous artificial intelligence workflows, with a strong understanding of when and how to apply different large language models.
  • Familiarity with knowledge graphs, ontologies, or semantic data models, and with representing and querying structured knowledge for artificial intelligence systems.
  • A strong grasp of actor-based or reactive concurrency models, event-driven design, streaming application programming interfaces, and WebSockets.
  • Strong experience with Node.js and frameworks such as Nest.js or Express, plus a solid grasp of distributed systems, scaling patterns, microservices, and cloud infrastructure.
  • Hands-on expertise with relational PostgreSQL and document MongoDB databases.
  • At least five years of backend development experience focused on data systems and high-traffic web applications.
  • Experience with TypeScript, Node.js, and Python.
  • Experience using observability tools, debugging, and performing root cause analysis.
  • Experience building scalable asynchronous pipelines, especially for language and artificial intelligence data.
  • Experience with Git and continuous integration and continuous delivery processes.
  • Productization experience, collaboration and ownership, critical thinking and communication, and pragmatism.
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 the organization scales.
Desired Qualifications
  • Familiarity with Datadog, Digital Ocean, and/or Google Cloud Platform is a plus.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A