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Job type
Full-time
Work mode
On-site
Level
Not listed
Department
Engineering
Experience
2+ years experience
Posted
Sep 24, 2026
About the role
What you’ll do:
Build primitives for self improvement: Create the feedback loops, evaluation systems, memory, signals, and decisioning infrastructure that help long-running agents learn from outcomes and improve over time.
Build the future of long-horizon agents: Design and ship agents that pursue complex business outcomes over days, weeks, or months across voice, SMS, email, and other channels.
Turn 0-to-1 work into a platform: Identify patterns and build reusable systems, abstractions, and tools that make future Horizon agents faster and easier to launch.
Solve technically complex problems: Build across orchestration, integrations, data, memory, signals, decisioning, observability, and multi-channel engagement.
Shape the Horizon product: Surface platform gaps through hands-on implementation and work with product and engineering to define Horizon’s architecture and roadmap.
Create a clean path beyond the POC: Once a solution is validated, translate what you built into durable product capabilities and enable a successful handoff for continued deployment.
What you’ll bring:
Experience building and scaling end-to-end production systems.
Strong platform and systems engineering fundamentals.
The ability to move between customer problems, product design, and technical implementation.
Strong technical judgment in ambiguous, fast-changing environments.
A builder’s mindset and the ability to take products from zero to one.
Comfort working directly with customers and understanding complex business processes.
High agency, adaptability, and clear communication.
At least two years of professional software engineering experience
Experience with Python, TypeScript, or Go and React.
Even better:
Experience as a founder, founding engineer, or early engineer at a startup.
Experience building workflow, orchestration, event-driven, or distributed systems.
Experience developing platforms or reusable infrastructure for other engineers.
Experience building or deploying AI and LLM-powered products.
Familiarity with enterprise integrations, APIs, data pipelines, and systems of record.
Experience working in complex industries such as financial services or healthcare.
