Company Description

Sago is developing AI-powered agents to transform the venture capital industry. By integrating institutional precision with entrepreneurial agility, Sago provides solutions that streamline fragmented investor workflows. Leveraging proprietary insights from decades of venture investing and in-depth conversations with industry experts, Sago’s technology acts as a trusted and intelligent extension of investors’ decision-making. The company is dedicated to redefining how investors operate and improving efficiency in the industry.

Role Description

This is a full-time, remote role for a ML Engineer, AI & Financial Intelligence. The engineer will be responsible for designing, developing, and maintaining full-stack agentic systems.

Requirement

Cover letter has to demonstrate understanding and experience in venture capital, private equity, or other private market investment environments. It can be a current role, project, internship or any tools built in this space.

Qualifications

• Experience building AI-driven systems, especially agentic architectures (e.g., multi-agent systems, tool-using LLM agents, planning/execution loops, agentic frameworks)
• Deep understanding of LLMs, embedding models, vector databases, prompt engineering, and other modern ML techniques
• Experience deploying agents in production using cloud platforms (AWS, GCP, Azure).
• Ability to collaborate within a team and adapt to a dynamic environment
• Bachelor’s or Master's degree in Computer Science, Software Engineering, or a related field
• Prior experience with AI-driven systems or applications is a plus, 2-3 years of relevant experience
• Well-versed in latest developments in AI and willingness to learn quickly.
• Understanding and experience in venture capital, private equity, or other private market investment environments.