Product Engineer

Product Engineer responsible for building Bolter’s AI agent runtime, workspace, generated applications, and production reliability systems. The role requires strong full-stack TypeScript experience, product judgment, rapid prototyping ability, and depth in AI systems, real-time infrastructure, or developer tooling.

About the job

Responsibilities

Own the technical roadmap for the agent runtime, workspace, agent-generated applications, and production reliability.
Design and build pipelines that turn plain-language descriptions into reliable, context-aware agents.
Build the workspace where users understand, direct, and trust their agents.
Develop infrastructure for agents to create usable applications such as trackers, dashboards, and tools.
Own evaluation, error handling, and reliability systems for production agent output.
Make architecture decisions involving speed, reliability, cost, build versus buy, and human versus AI responsibilities.
Rapidly prototype features, then harden successful concepts with tests, edge-case handling, and reliability improvements.
Use AI tools and specialized agents to accelerate implementation.
Recruit and shape the early engineering team.
Work closely with the GM and contribute strong product and UX opinions.

Requirements

Track record of shipping production software, ideally with founding or early-stage startup engineering experience.
Strong TypeScript experience across the full stack.
Depth in at least one of LLM application design and production AI reliability, real-time data infrastructure, or developer-facing products and internal tooling.
Strong product judgment and ability to connect technical decisions to user and business outcomes.
Comfort working quickly in ambiguous environments and transitioning prototypes into reliable production systems.
Clear technical communication skills.
Ability to leverage AI agents as a force multiplier.
Interest in messaging applications, productivity tools, or AI applications.

Nice-to-haves

Go experience.
Experience building AI products, productivity tools, or chat applications.
Experience building consumer-facing productivity or messaging applications at scale.
Familiarity with AI and productivity product landscapes.
Experience with LLM evaluations, hallucination mitigation, or production AI reliability at scale.
Experience with real-time streaming architectures and event-driven systems.
Public portfolio including open-source projects, papers, blog posts, or side projects.
Full-stack experience spanning backend services and frontend UX.

Compensation

Compensation is not specified.

Skills

TypeScript, Go, Llm Applications, Ai Reliability, Real-Time Data, Developer Tooling, Llm Evaluations, Event-Driven Systems, Streaming Architectures, Backend Services, Frontend Ux, AI Agents