2 часа назад
Backend Engineer (AI)
180 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer (AI): Building distributed systems, APIs, data pipelines, and backend infrastructure for AI research and deployment with an accent on high-throughput, low-latency workflows, database performance, and reliability. Focus on designing scalable services, integrating agentic AI workflows, and implementing observability, persistence, streaming, and vector-store capabilities.
Location: Hybrid in New York City or San Francisco, United States
Salary: $180K–$260K annually, plus equity
Company
is an AI lab deploying frontier reasoning systems within financial markets and developing an agentic wealth manager.
What you will do
- Design and implement scalable backend services, data pipelines, and APIs.
- Build infrastructure for high-throughput, low-latency AI and machine learning workflows.
- Set up, manage, and optimize SQL and NoSQL databases, including schemas, replication, indexing, and performance.
- Improve performance, reliability, security, observability, logging, tracing, and monitoring.
- Collaborate with research and infrastructure teams to support rapid experimentation.
- Contribute through code reviews, mentorship, and engineering practices.
Requirements
- 3+ years of experience building distributed systems or high-availability backends.
- Strong Python skills and proficiency in at least one systems language such as Go, Rust, or C++.
- Experience with cloud platforms, Docker, Kubernetes, and container orchestration.
- Experience setting up, managing, and optimizing SQL or NoSQL databases.
- Strong focus on code quality, correctness, performance, maintainability, and structure.
- Ability to use modern AI coding tools such as Cursor, Claude Code, or Codex effectively.
Nice to have
- Experience integrating agentic AI workflows into backend systems using tools such as LangChain, LangGraph, Semantic Kernel, Haystack, or custom frameworks.
- Familiarity with persistence and checkpointing, streaming pipelines, and vector or knowledge store integrations.
Culture & Benefits
- Work within a small, high-agency, talent-dense team.
- Opportunity to work on AI applications in financial markets.
- Early-stage environment with minimal bureaucracy.
- Equity included in the compensation package.
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