Kepler

Build and own ML models, fine-tuning, evaluation harnesses, and routing for Kepler's AI agent harness in finance. Requires 5+ years production software experience and shipped ML systems focused on correctness, evals, and real-world reliability.

Build the analyst-facing UI for Kepler's AI-powered finance research platform, creating verifiable, data-dense interfaces like source explorers, real-time agent views, and spreadsheet-like financial models. Requires 5+ years production experience as an expert in TypeScript/React with strong product taste for high-stakes interfaces.

Forward Deployed Engineer embedding with enterprise financial clients to deploy, customize, and scale AI research workflows while building core platform features. Requires 3-5 years full-stack experience, client-facing technical roles, and 30-50% travel from NYC HQ.

Build agentic infrastructure for reliable AI agents including distributed execution frameworks, evaluation systems, context management, and provenance layers for enterprise-critical decisions.

Build core systems across the full stack for Kepler's AI research platform, including backend orchestration, data pipelines, and UI for traceable AI outputs in finance.

Lead AI research defining the agenda for trustworthy agentic systems, memory, retrieval, and evaluation frameworks. PhD required with 5+ years focused on LLMs/agents and a strong publication record; work ships directly to production for high-stakes financial users.

Architect and build core backend systems for an AI research platform in finance. Own infrastructure, data pipelines, and AI integrations while driving technical direction and mentoring engineers.