8 часов назад
Principal Engineer (AI)
300 000 - 500 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Engineer (AI): Owning and evolving production-grade enterprise systems for an agentic software development platform with an accent on backend reliability, full-stack execution, and LLM-powered workflows. Focus on designing LLM validation loops, combining graph and vector databases for complex-domain reasoning, and solving scalability, performance, and operational reliability challenges.
Location: Cambridge, Massachusetts, United States — on-site
Salary: $300,000–$500,000 total compensation, including base salary and equity.
Company
is an AI software development platform that autonomously converts enterprise requirements into production-ready software and automates large portions of the software development lifecycle.
What you will do
- Own mission-critical, production-grade backend systems used by enterprise customers.
- Design, ship, and steward high-impact features that improve reliability, scalability, performance, and customer value.
- Identify and resolve technical bottlenecks limiting product quality and engineering velocity.
- Design, operate, and evolve LLM validation loops covering evaluation, feedback, regression testing, and failure analysis.
- Build systems combining graph, vector, and traditional data models for reasoning over complex domains.
- Raise engineering quality and durability standards through hands-on technical leadership without direct reports.
Requirements
- Prior Principal Engineer or Staff+ experience in a highly technical environment.
- Deep hands-on expertise across backend, frontend, infrastructure, and AI systems.
- Strong Python expertise, backend frameworks, microservices, REST or gRPC, and supporting experience with Node.js and JavaScript.
- GCP is mandatory, plus expert experience with at least one of AWS or Azure; expert-level Kubernetes and Terraform experience.
- Experience operating reliable production systems and working with SQL, NoSQL, graph databases such as Neo4j, and vector databases or embeddings infrastructure.
- Experience building and operating LLM-powered systems, including validation loops and tracing or evaluation tools such as LangSmith.
Nice to have
- Experience with OpenAI, Anthropic, or similar model vendors.
- Experience modernizing complex, long-lived enterprise production environments.
Culture & Benefits
- In-person collaboration in a startup office community.
- Paid medical, dental, and vision insurance for employees and dependents.
- 4% 401(k) match.
- Flexible vacation, sick days, and work-from-home days.
- Technology equipment or allowance, plus an office with snacks, beverages, coffee, and espresso.
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