Product Engineer, Full-Stack ( Front-End )

Product Engineer, Front-End - Req Download

Engineering | Hybrid - New York or Washington, DC preferred, Remote considered | Full-Time

Company & Role Overview

• Our client is a fully funded AI startup building an end-to-end decision-intelligence platform, delivering quantitative, low-latency judgments on complex political, economic, and military events for customers across finance, national security, and other industries.
• Founded by seasoned leaders with backgrounds at Google, Meta, Client, Cerberus Capital, and US intelligence.
• This is a full-stack engineering role with a front-end focus, requiring production-level knowledge of backend architecture, joining a lean, high-caliber engineering team building at the frontier of AI-powered decision tools.

Roles & Responsibilities

• Architect and deploy front-end systems that integrate LLMOps and proprietary structured data pipelines into real-time AI interactions.
• Manage complex state for conversational and time-series based workflows.
• Help define agentic, multi-task experiences based on complex user requirements.
• Drive product improvements through close collaboration with product and management on user-testing initiatives.
• Develop internal tools for R&D sandbox work and internal product quality monitoring, including dashboards of production deployments.
• Build the core customer product surface where users explore model outputs, understand how a result was reached, interrogate reasoning, and organize and share their work with teammates.
• Build customer-facing model scaffolding, the surface where users pose questions to the models and work with results in close integration with proprietary workflows.
• Build internal tooling for research and product quality, including dashboards and comparison tooling for the research team to evaluate model changes, plus quality monitoring for production deployments.

Skills & Requirements

• 3-5+ years of experience building production web applications, with proven independent experience in React, TypeScript, and modern front-end frameworks.
• Experience with state management libraries, real-time streaming data handling, and responsive design principles.
• Backend experience with Node.js, Python, and FastAPI.
• Production experience with LLMOps, vector databases, and RAG architectures.

Strongly preferred

AI-native experience shipping LLM-facing product surfaces in production, including streaming chat, agentic/multi-step tool use, citation and grounding UI, and human review/feedback loops.

Strongly preferred

comfort with quantitative and probabilistic concepts, including calibration, scoring rules (Brier/log score), backtesting, and confidence intervals.

Strongly preferred

experience on venture-backed startup teams, comfortable with the ambiguity and scope of an early product surface.

Strongly preferred

design-system fluency (Tailwind, Radix, shadcn/ui, Figma-to-code workflows) and genuine care about visual craft.

Strongly preferred

prior work on tools for financial, intelligence, or research users, surfaces where being wrong is expensive and provenance is not optional.

Compensation

competitive salary plus equity package.