6 часов назад
Developer Support Engineer (AI)
75 000 - 135 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Developer Support Engineer (AI): Investigating and resolving customer issues across an agent-driven software development platform with an accent on log analysis, distributed systems, APIs, and code-level debugging. Focus on reproducing complex failures, identifying root causes, implementing product fixes, and building scalable support processes.
Location: Onsite at 1 Kendall Square, Cambridge, MA, United States
Salary: $75,000–$135,000 per year plus equity
Company
is an AI software development platform that transforms enterprise requirements into production-ready code through an agentic software development system.
What you will do
- Serve as the primary technical contact for Enterprise and Pro users.
- Investigate platform issues using logs, traces, execution output, agent behavior, integrations, and code.
- Reproduce issues in local and staging environments, identify root causes, and drive escalations through resolution.
- Submit detailed engineering tickets and implement product fixes when appropriate.
- Collaborate with Engineering and Product on reliability improvements, agent behavior, and customer-driven roadmap input.
- Create documentation, workarounds, recommended practices, and knowledge-base content while helping establish scalable support processes.
Requirements
- 2–5 years of experience in software engineering, technical support, platform support, or a debugging-focused technical role.
- Strong ability to analyze logs, traces, stack traces, APIs, and distributed-systems behavior.
- Ability to read and modify code; Python or TypeScript is strongly preferred.
- Excellent communication with technical and non-technical audiences.
- Calm, resourceful, and curious approach to complex systems and customer escalations.
- Willingness to collaborate onsite with Engineering and Product teams in Cambridge, MA.
Nice to have
- Experience supporting developer tools, APIs, SDKs, or enterprise software platforms.
- Familiarity with cloud infrastructure, containers, CI/CD, or modern DevOps tooling.
- Experience with AI/ML systems or model-driven automation.
- Open-source contributions, internal tooling, or customer-facing engineering experience.
- Experience translating customer feedback into product improvements.
Culture & Benefits
- Fast-paced, decisive work focused on delivering customer value.
- In-person collaboration across Engineering, Product, and Customer functions.
- Direct exposure to agentic AI systems and hands-on engineering ownership.
- Growth opportunities as the support organization scales.
- Equity package and emphasis on sleep, movement, and restorative activities.
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