Pareto Agent is a company focused on building a policy-driven runtime that executes high-stakes commercial workflows. As a Senior Founding AI Engineer, you will own the execution system behind an autonomous AI sales agent, shaping both the technical architecture and product direction.
Responsibilities:
- Own the end-to-end execution system — including the agent pipeline and the event-driven runtime that governs lifecycle, state, and policy enforcement
- Design and evolve a multi-stage agent pipeline (intent classification, context assembly, reasoning, response generation) as a cohesive, testable system
- Build and maintain a robust evaluation framework — defining correctness and catching regressions before they reach customers
- Work within a structured rules and policy system — including constraints, escalation logic, and commercial guardrails
- Design systems that are safe by construction, ensuring the agent operates within pricing, legal, and approval boundaries at the architecture level
- Architect context assembly — determining what to include, retrieve, compress, or discard as complexity scales
- Build instrumentation and feedback loops so every interaction improves system performance over time
- Make the agent configurable and increasingly self-sufficient — start from the rules, guardrails, and communication guidelines customers define today; build the instrumentation and feedback loops that reduce how much explicit configuration is needed tomorrow
- Lay the foundation for a self-improving system, where outcomes drive better models, smarter context selection, and improved decision-making
- Engage with early customers to validate assumptions and translate real-world usage into product direction