14 дней назад
Staff Engineer, Applied AI (Customer Agent)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer, Applied AI (Customer Agent) (AI/Agentic Systems): Building and scaling a production conversational AI system for brands with an accent on orchestration, evaluation, guardrails, memory, and failure handling. Focus on setting technical and product direction, shipping hands-on solutions for non-deterministic systems, and improving reliability under live customer traffic.
Location: Boston, MA — in-office role; up to 10% travel may be required for onboarding, client or partner work, team meetings, and industry events.
Company
builds AI-powered systems and first-party data products that help brands create personalized customer experiences in ecommerce and beyond.
What you will do
- Set technical and product direction for a core area of the Customer Agent platform, from architecture through production.
- Build and ship a 0-to-1 conversational agentic product serving live customer traffic.
- Solve complex problems across orchestration, evaluation, guardrails, memory, context, and non-deterministic failure handling.
- Write code, review designs, debug production issues, and make high-impact technical decisions.
- Define reusable engineering patterns and mentor engineers through design reviews.
- Partner with product, design, data science, and go-to-market leaders to shape the product and evaluate emerging AI technologies.
Requirements
- Experience building, scaling, and supporting production agentic systems through launch, incidents, and ongoing operations.
- Practical experience with orchestration, evaluation systems, guardrails, misuse prevention, and reliability for non-deterministic systems.
- Previous ownership of technical and product direction for a significant area, including systems adopted by other engineers.
- Hands-on software engineering experience, including coding, architecture reviews, and production debugging.
- Ability to communicate complex technical trade-offs and turn ambiguous problems into executable plans.
Nice to have
- Experience with multi-tenant agent platforms where customers configure agent behavior on shared infrastructure.
- Experience building 0-to-1 products or working in startup environments.
- Experience with production evaluation systems, AI observability, or human-in-the-loop workflows for LLM-powered products.
Culture & Benefits
- Hands-on work in a small, ambitious Customer Agent team backed by the scale and resources of .
- Focus on shipping production changes, measuring quality with real evaluation frameworks, and treating reliability as a product feature.
- Compensation may include annual cash bonuses, equity, sign-on payments, and health, welfare, and wellbeing benefits based on eligibility.
- AI work includes responsible use practices covering privacy, security, bias awareness, and human-in-the-loop processes.
Hiring process
- Participation in the interview process requires adherence to ’s guidelines for using AI during interviews.
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