Чётко очерченная роль Staff-инженера в ведущей AI-компании предлагает масштабную работу с распределёнными системами, но требования к точности и надёжности здесь исключительно высоки.
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Выше рынкаЧёткие задачиАктуальные технологииСфера искусственного интеллектаВысокая цена ошибки
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer, Finance Engineering (AI): Building a finance platform with governed APIs, an append-only ledger, and an accounting engine that posts events exactly once, with an accent on distributed systems correctness, auditability, and high-volume event processing. Focus on designing replayable event pipelines, SDKs, controls-as-code, and reliable real-time services for billing, compute, and infrastructure teams.
Location: San Francisco, CA or Seattle, WA; hybrid, with staff expected to work from one of the offices at least 25% of the time.
Annual salary: $320,000–$405,000 USD.
Company
Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
Design and build the finance platform’s governed entry point, including APIs for applications and agents, event buses, vendor and reporting adapters, data-quality gates, and exactly-once processing with replay and backfill.
Drive development of an append-only accounting ledger and engine with idempotent posting, business-event rules, journal-entry generation, ERP translation, and period locks.
Build SDKs and frameworks for finance applications and agents.
Implement controls as code, including immutable audit trails, maker-checker workflows, scoped access, and segregation of duties.
Build and operate real-time production services such as tax and collections services, owning uptime, latency, throughput, and correctness targets.
Shape technical direction through architecture, engineering standards, and design reviews while collaborating with Billing, Compute, Infrastructure, finance operations, product owners, and internal audit.
Requirements
Strong backend engineering experience in a statically typed language such as Go, Java, or Rust, or Python at scale.
Experience designing and operating high-volume, event-driven systems using publish/subscribe or streaming, with idempotent processing, replay, and backfill.
Experience designing relational data models and writing SQL for complex, versioned data.
Experience designing APIs, SDKs, and service-to-service integrations used by other teams.
Experience building systems with auditability, access-control, or compliance requirements.
Experience translating requirements from non-engineering partners into technical designs.
Strong written and verbal communication skills, including design documentation.
Bachelor’s degree or equivalent combination of education, training, and experience; relevant field of study demonstrated through coursework, training, or professional experience.
Nice to have
10+ years of experience.
Experience building developer platforms or paved paths.
Experience with streaming systems such as Pub/Sub or Kafka.
Experience building with LLMs and agents, including MCP.
Experience building ledger, sub-ledger, billing, or payments systems.
Familiarity with double-entry accounting, journal entries, internal controls, audit trails, segregation of duties, change management, or ERP and financial systems such as Workday Financials.
Culture & Benefits
Collaborative environment focused on high-impact AI research and trustworthy AI systems.
Flexible working hours and an office environment for collaboration.
Visa sponsorship may be available; Anthropic provides immigration-lawyer support and evaluates sponsorship by role and candidate.
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