2 часа назад
Forward Deployed Engineer (FDE)
148 000 - 255 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (FDE) (Python/AI): Designing, building, and deploying production-grade customer integrations and AI-driven systems with an accent on distributed systems, APIs, cloud infrastructure, and LLM-based workflows. Focus on owning deployments end-to-end, building evaluation frameworks for agent behavior, and solving ambiguous technical problems in customer environments.
Location: Hybrid in San Francisco or New York
Base salary: $148,000–$255,000 per year, plus equity.
Company
builds data and intelligence infrastructure for business verification, onboarding, risk management, and business formation, serving banks, fintechs, and other companies.
What you will do
- Lead architecture and technical design for complex customer-facing systems and integrations.
- Partner with strategic customers and internal product and engineering teams to understand architectures, workflows, and constraints.
- Design, build, deploy, monitor, and iterate on integrations using APIs, data pipelines, and AI workflows.
- Build and operate LLM- and agent-based systems in production customer workflows.
- Design evaluation frameworks, test harnesses, metrics, and feedback loops for AI system quality and reliability.
- Translate deployment insights into reusable abstractions, internal tooling, product improvements, and technical standards.
Requirements
- 6+ years of experience building and shipping software in production.
- Experience serving as a technical lead or domain owner for a team or major system.
- Strong Python skills plus proficiency in another language such as TypeScript or Go.
- Experience designing and operating distributed systems, APIs, and cloud-native infrastructure.
- Ability to work across backend systems, integrations, infrastructure, and tooling with strong debugging and ownership skills.
- Strong communication skills for explaining technical trade-offs to engineering, product, and non-technical stakeholders.
Nice to have
- Hands-on experience with LLM-powered or agent-based systems and LLM evaluation techniques.
- Startup experience, including work as a founder or early startup engineer.
- Background in fintech, compliance, regulated systems, identity, risk, fraud, or workflow automation.
- Experience with observability, reliability engineering, or system safety practices.
Culture & Benefits
- High-ownership, high-trust environment with autonomy and direct influence on product direction.
- Technical leadership through influence, design reviews, code reviews, and hands-on collaboration.
- Focus on thoughtful engineering, pragmatism, customer value, and real-world impact.
- Equity and competitive benefits are offered.
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