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.

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.

You'll architect and build core systems for Kepler's AI platform, manage backend services, mentor engineers, and drive technical decisions.

As a Sr. Forward Deployed Engineer, you will architect custom AI solutions for financial clients, optimize platform performance, and drive product innovation directly in the field with clients.

The Data Platform Engineer will architect and build a foundational data platform for AI, managing ingestion systems, data quality, and mentorship while working with diverse data types and technologies.

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.

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.

As a Data Engineer, you'll build and maintain data pipelines and infrastructure for an AI-driven research platform, ensuring data quality and reliability while collaborating on architectural decisions.