Sr. Software Engineer, Core AI
TripActions · Palo Alto, CA or San Francisco, CA
About this role
**About the Role** We are building a fleet of specialized AI services that improve high-value human workflows across the company. As a **Senior Software Engineer, Core AI**, you will design, build, evaluate, and operate production-grade AI services and agents. You will own work end to end—from data and context design through tool use, application logic, evaluation, and production monitoring. **What You’ll Do** - **Build specialized AI services:** Design and implement task-specific services and agents, including data serialization, retrieval, memory where appropriate, tool integrations, and bounded multi-step reasoning. - **Define and evaluate quality:** Work with partners to make expected behavior explicit, write and maintain evals against representative examples, and use results to measure performance against expectations. - **Improve quality systematically:** Use evaluation findings, failure analysis, and production feedback to improve context and data, service logic, tools, and model behavior. - **Build for production:** Integrate tracing, observability, versioning, monitoring, reliability practices, and success metrics into the services you own. - **Run controlled experiments:** Compare models, data, and implementation approaches using repeatable benchmarks so improvements are attributable and reproducible. - **Partner on architecture:** Work with AI Architecture, AI Ops, and Platform teams to make services secure, reliable, cost-aware, and deployable at scale. - **Ship iteratively:** Move quickly from user problem to prototype to production, learning from real workflow outcomes. **What We’re Looking For** - **5+ years** of strong software engineering experience delivering production services or products, ideally at senior or staff level. - Hands-on experience building **AI/LLM-powered applications or agents** with real users or operational use. - Experience with **evaluation methods** for AI behavior: defining expected outcomes, building test sets/evals, tracking regressions, and acting on results. - A **data-first mindset:** Ability to shape retrieval, context, and serialization to give a model the information needed for the task.
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