Jobs at Kepler

Build and maintain the analyst-facing frontend for Kepler's AI research platform: high-performance, data-dense interfaces (spreadsheets, tables, streaming views) that surface cited, auditable values and verification workflows. Ship end-to-end features, optimize browser performance, implement real-time streaming UX, and ensure traceability from UI cells back to original sources.

Own and operate models in a production AI research platform: select and fine-tune models, build training/evaluation/extraction pipelines, implement eval harnesses and CI, redesign model routing for accuracy/cost/latency, and drive end-to-end product-quality and verification for finance workflows.

The Full Stack Engineer will develop Kepler's AI research platform, building frontend React applications and scalable backend services that manage data and integrate AI workflows. Responsibilities include feature ownership, data integration, performance optimization, and ensuring production excellence.

As a Software Engineer at Kepler, you'll develop backend systems, manage data pipelines, and integrate AI for financial applications, ensuring production excellence and scalability.

Build and own Kepler's cloud and infra foundation: AWS account architecture, IaC, deployment pipelines, enterprise in‑VPC deployments, security/SOC2 controls, developer platform tooling, database scaling, and production reliability (SLOs, on‑call, incident response).

Develop foundational systems for Kepler's AI platform, including building execution infrastructure, evaluation systems, and integrating AI into production environments. The role requires strong backend engineering skills and experience in AI/ML systems.

As a Forward Deployed Engineer, you'll customize and optimize AI solutions at client sites, engaging directly with financial firms to drive product innovation and improve research workflows.

Lead the AI research agenda at Kepler, focusing on trustworthy AI for enterprise decisions. Oversee research on agentic systems and evaluation frameworks, and manage a research team. Ensure production deployment of innovative AI solutions based on real financial data.