Software Engineer, Horizon
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.