2 дня назад
Forward Deployed Engineer (AI)
220 000 - 270 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI): Building and deploying customer-facing integrations, applications, APIs, and AI-enabled workflows for manufacturing quality intelligence with an accent on hands-on software engineering, messy enterprise data, and customer problem discovery. Focus on scoping ambiguous use cases, validating model and software behavior, designing reliable deployments, and creating reusable delivery practices for a new FDE team.
Location: Hybrid in New York, NY or San Francisco, CA; 25–50% travel required
Salary: $220K–$270K annually, plus equity
Company
develops an AI-powered quality intelligence platform that helps industrial, aerospace, consumer, and medtech manufacturers identify, investigate, and resolve quality issues.
What you will do
- Work with customer business and technical teams to identify valuable use cases and define scope, acceptance criteria, and delivery plans.
- Design and build data integrations, business logic, APIs, applications, and AI-enabled workflows.
- Deliver production software with tests, clear interfaces, access controls, and deployment approaches aligned with Engineering.
- Validate outputs against source data and business rules, evaluate AI behavior, and confirm accuracy, usability, and business value with users.
- Monitor deployments, resolve issues, document systems, and establish ongoing support models.
- Partner with account, Product, and Engineering teams to turn successful customer solutions into reusable practices and capabilities.
Requirements
- Strong software engineering fundamentals and experience personally shipping and maintaining production software.
- Ability to work independently across backend and application logic, data models, APIs, testing, debugging, reliability, permissions, and failure cases.
- Experience with Python and SQL, plus full-stack development using TypeScript, React, or comparable tools.
- Experience with enterprise data and API integrations, applied AI or agent workflows, and rigorous evaluation.
- Ability to understand ambiguous customer problems, communicate with technical and nontechnical stakeholders, and take ownership of outcomes.
- Experience in manufacturing, quality, reliability, supply chain, or service operations is particularly valuable.
Culture & Benefits
- Work on AI technology used to improve manufacturing quality and customer outcomes.
- Collaborative, mission-driven environment with direct communication, frequent feedback, and high ownership.
- Generous time off and respect for personal boundaries and recharge.
- Competitive compensation, equity, and benefits.
- Fast-moving environment focused on action, impact, and sustainable excellence.
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