Applied AI Engineer

The role

You will bring new agent capabilities from zero to one and build the systems that make them work in production. You will work with product, design, and engineering to build agents that research accounts, identify opportunities, and execute GTM workflows.

What you will do

• Design execution loops, tool interfaces, context, and memory for agent harnesses.
• Turn ambiguous customer problems into working features.
• Build evals from real customer tasks and use traces and failure analysis to improve agent behavior.
• Own reliability, latency, and cost.
• Make long-running tasks resumable and handle tool failures.
• Test models, prompting strategies, retrieval approaches, and orchestration patterns.
• Build reusable tools and engineering practices.

Required qualifications

• 3+ years of software engineering experience.
• Hands-on experience shipping LLM applications or agents to production.
• Experience building systems with tool calling, multi-step execution, and evaluations.
• Strong programmer in TypeScript or Python.
• Experience building backend systems and integrating APIs.
• Comfortable owning a feature across the stack.

About the company

Unify is building the first AI-native outbound platform where agents and sellers work side by side. The platform helps revenue teams identify buyers, enrich accounts, and execute personalized outreach.