Software Engineer, AI (Early Career)

Ande; Myrtle Point (OR); On-site; USD 120,000 - 180,000; Full time

Job summary

Ande is building the Ande Agent, a concierge and its team of subagents that turn requests into confirmed, paid bookings. You will ship to production from your first weeks, own end-to-end components, and work closely with senior engineers to grow quickly.

You will focus on the agent system, typed tooling for search, booking and payments, and design robust evals and memory for better recommendations.

Qualifications

• Degree in CS or Engineering with 1 year of professional experience or 1–2 years with AI.
• Built something with LLMs that real people used: tools, multi-step agents or evals.
• Solid TypeScript or Python, with fundamentals in data structures, APIs and databases.
• Curiosity about why a model behaved as it did, and measuring changes.
• Daily fluency with AI coding agents and ability to read and own code.
• Clear communication and a bias to ship; fast feedback iteration.

Responsibilities

• Improve the agent system: planning, calling tools, and coordination for sourcing and booking.
• Build and extend typed capabilities the agent uses for search, hold, book, pay and message.
• Create evals, graders and judges; document bugs as cases and ensure trustworthy changes.
• Develop memory and data flows to turn conversations into structured facts.
• Ship typed classifiers for consent, triage, ranking and urgency with thresholds.
• Work with AI coding agents daily and help improve guides, skills and checks.

Skills

Data structures

APIs

Databases

Curiosity about model behavior

Clear communication

Ship mindset

Education

Bachelor's degree in CS or Engineering

Tools

TypeScript

Python

React

Node.js

PostgreSQL

Job description

ABOUT THE ROLE

You will build the intelligence behind the Ande Agent. That's the concierge and its team of subagents that take a request from one sentence () to a confirmed, paid, on-policy booking.

This is not a chatbot or a demo. The agent acts on real money, on behalf of real executives, with real venues on the other end of the thread. You will ship to production from your first weeks, own real parts of the agent end to end, and work side by side with senior engineers who will review your work closely and help you grow fast.

WHAT YOU'LL WORK ON

• The agent system. Improve how the concierge and its subagents for sourcing, comparison and venue coordination plan, call tools and recover when something goes wrong. Find the failure in real conversations, fix it, and prove the fix.
• Tools the agent can trust. Build and extend the typed capabilities the agent uses to search, hold, book, pay and message, including the proposals a booker confirms before anything consequential happens.
• Evals. Write scenarios, graders and LLM judges, add every bug you fix as a case, and help keep the suite trustworthy enough that changes ship on the number.
• Memory and supply data. Build the pieces that turn every venue conversation into structured facts that make the next recommendation better.
• Fast judgments. Ship typed classifiers for consent, triage, ranking and urgency, each with labelled thresholds, a timeout and a fallback, rolled out from shadow to live.
• How we build. Ship with AI coding agents every day, and help us improve the guides, skills and checks that make them good at our codebase.

WHAT YOU'LL BRING

• A degree in Computer Science or Engineering, and either 1 year of professional experience with strong internships, or 1-2 years building with AI.
• Something you built with LLMs that real people used: tool use, multi-step agents, structured outputs or evals. A side project, hackathon win or internship project counts.
• Solid TypeScript or Python, and strong fundamentals in data structures, APIs and databases.
• Curiosity about why a model did what it did, and the habit of measuring before and after a change.
• Daily fluency with AI coding agents, and the judgment to read and own what they write.
• Clear communication and a bias to ship: you take feedback well and turn it around fast.

EVEN BETTER

• Internships or early roles at a startup or an AI-first company.
• Experience with evals, prompt engineering or agent frameworks beyond the tutorials.
• Experience with search, ranking or recommendation.
• Experience with React, Node and Postgres.
• You've shipped something in hospitality, events, payments or marketplaces.

Equal Employment Opportunity

Ande is an