Job Description

Skills: Machine learning, Python, React

As a founding engineer, you'll help shape the foundation of how intelligent agents are built, verified, and deployed — not just at Relari, but across the next generation of AI-native software.

In this role, you will:

• Architect core systems for Nuvi — designing how natural language specifications are turned into structured, testable agent behavior.
• Build infrastructure that enables agents to integrate with real-world tools, APIs, and knowledge sources.
• Ensure agent reliability by developing systems for simulation, automated evaluation, and behavioral verification.
• Work directly with customers, helping them go from intent to working agents — and using that feedback to inform what we build next.
• Continuously explore new ways agents can reason, act, and improve — and bring those innovations into the product.

You’re a good fit if:

• You’ve built and shipped technically complex systems — whether infrastructure, AI tools, or end-user products.
• You’re a Software Engineer, Machine Learning Engineer, or Research Engineer at a fast-growing software company or top research lab.
• You thrive in a fast-moving environment and view unstructured environments as opportunities to identify the most impactful work and define the future success of the company.
• You operate like a owner: you identify high-leverage problems, drive them to resolution, and raise the bar for the team.

Bonus points if you have:

• Built or contributed to an AI agent framework, orchestration layer, or evaluation pipeline.
• Trained or fine-tuned foundation models, or worked on tools that enable others to do so.
• Published in top ML/NLP conferences (e.g. NeurIPS, ICML, ACL) or contributed to widely used open-source projects.