HopHR
Moon™ is the operating system for agentic recruiting.
It is a multi-agent AI platform that automates the full recruiting lifecycle end-to-end — from sourcing to evaluation to coordination — with humans in the loop where judgment matters.
Moon evaluates and ranks thousands of technical candidates using LLM-driven assessments and a proprietary matching engine that captures deep technical, career‑progression, and role‑fit signals. It continuously enriches candidate profiles, runs autonomous sourcing campaigns, filters noise at scale, and surfaces the top 1 percent of talent for human review. Client feedback is fed directly back into the system, allowing Moon to learn and improve with every hiring decision.
The result is a recruiting co‑pilot that replaces fragmented tools and manual workflows with a single intelligent system — dramatically reducing time‑to‑hire while increasing signal quality and consistency.
We are hiring an
Founding Engineer
with hands‑on experience building production‑grade Software systems to help scale Moon’s core engine.
What You’ll Do
Design and build core product features end-to-end across frontend, backend, and infrastructure
Architect and scale AI‑driven systems that evaluate, rank, and coordinate talent workflows
Build reliable, production‑grade services using
TypeScript
and
Python
Own deployment, observability, performance, and cost as first‑class product concerns
Make foundational technical decisions and evolve the platform as we scale
Work closely with founders to turn product vision into shipped systems
What We’re Looking For
Strong full‑stack engineering background with
TypeScript
and
Python
Proven experience shipping and operating production systems
Solid platform and DevOps experience, including: Cloud infrastructure design, CI/CD pipelines, and Scaling, reliability, and performance tuning
Comfort owning infrastructure decisions and evolving them over time (Docker today, Kubernetes or similar at scale)
Security‑and‑reliability‑first mindset
Plus
Experience building
agentic or multi‑agent AI systems
Hands‑on with
LangGraph ,
LangChain , or LLM orchestration frameworks
Prior work on AI‑native products, developer platforms, or workflow automation
Early‑stage startup experience or strong builder mentality
Why This Role
Founding‑level ownership with real architectural influence
Build a category‑defining product at the intersection of AI and hiring
Work on systems that operate at scale, learn continuously, and ship fast
Small team, high trust, zero bureaucracy
#J-18808-Ljbffr
It is a multi-agent AI platform that automates the full recruiting lifecycle end-to-end — from sourcing to evaluation to coordination — with humans in the loop where judgment matters.
Moon evaluates and ranks thousands of technical candidates using LLM-driven assessments and a proprietary matching engine that captures deep technical, career‑progression, and role‑fit signals. It continuously enriches candidate profiles, runs autonomous sourcing campaigns, filters noise at scale, and surfaces the top 1 percent of talent for human review. Client feedback is fed directly back into the system, allowing Moon to learn and improve with every hiring decision.
The result is a recruiting co‑pilot that replaces fragmented tools and manual workflows with a single intelligent system — dramatically reducing time‑to‑hire while increasing signal quality and consistency.
We are hiring an
Founding Engineer
with hands‑on experience building production‑grade Software systems to help scale Moon’s core engine.
What You’ll Do
Design and build core product features end-to-end across frontend, backend, and infrastructure
Architect and scale AI‑driven systems that evaluate, rank, and coordinate talent workflows
Build reliable, production‑grade services using
TypeScript
and
Python
Own deployment, observability, performance, and cost as first‑class product concerns
Make foundational technical decisions and evolve the platform as we scale
Work closely with founders to turn product vision into shipped systems
What We’re Looking For
Strong full‑stack engineering background with
TypeScript
and
Python
Proven experience shipping and operating production systems
Solid platform and DevOps experience, including: Cloud infrastructure design, CI/CD pipelines, and Scaling, reliability, and performance tuning
Comfort owning infrastructure decisions and evolving them over time (Docker today, Kubernetes or similar at scale)
Security‑and‑reliability‑first mindset
Plus
Experience building
agentic or multi‑agent AI systems
Hands‑on with
LangGraph ,
LangChain , or LLM orchestration frameworks
Prior work on AI‑native products, developer platforms, or workflow automation
Early‑stage startup experience or strong builder mentality
Why This Role
Founding‑level ownership with real architectural influence
Build a category‑defining product at the intersection of AI and hiring
Work on systems that operate at scale, learn continuously, and ship fast
Small team, high trust, zero bureaucracy
#J-18808-Ljbffr