3 дня назад
Senior/Staff Backend Engineer, Applied AI
200 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior/Staff Backend Engineer, Applied AI (Node.js/TypeScript, PostgreSQL, LLM workflows): Architecting and scaling AI-powered backend systems for document extraction, entity resolution, retrieval, and structured financial data generation with an accent on resilient pipelines, evaluation, observability, and production reliability. Focus on designing multi-step AI workflows, managing non-deterministic systems, and making complex tradeoffs across performance, cost, and scalability.
Location: NYC, United States; on-site
Base salary: $200,000–$350,000 per year, plus equity
Company
is an AI-native asset management platform focused on healthcare facilities and multifamily real estate across acquisition, management, and exit.
What you will do
- Architect and scale AI-powered backend systems for document extraction, entity resolution, retrieval, and structured data generation.
- Design resilient pipelines, queues, orchestration layers, and failure-handling mechanisms for production AI workflows.
- Own data modeling and backend architecture across PostgreSQL and related storage systems for complex financial and operational data.
- Establish observability, evaluation, tracing, monitoring, debugging, and guardrail standards for AI systems.
- Improve reliability and developer velocity through better abstractions, tooling, and engineering patterns.
- Provide technical leadership through architecture reviews, design feedback, collaboration with product and frontend teams, and mentorship.
Requirements
- 7+ years of backend or full-stack software engineering experience, including ownership of production backend systems.
- Strong experience with Node.js, TypeScript, PostgreSQL, concurrency, queuing, data pipelines, and reliable server-side systems.
- Hands-on experience building products with LLMs, including agent architectures, RAG systems, extraction pipelines, or tool-use patterns.
- Ability to reason about failure modes, retries, observability, cost, performance, and scaling in AI workflows.
- Technical leadership experience with architecture decisions, design reviews, code quality, and engineering mentorship.
- Bachelor’s degree minimum.
Nice to have
- Experience owning architecture for AI-native or data-intensive backend platforms.
- Production experience with Inngest, Temporal, or Step Functions.
- Experience with OCR, document intelligence, search, or financial and legal data extraction at scale.
- Early-stage startup experience and experience improving technical standards across a team.
Culture & Benefits
- Work at the cutting edge of applied AI with a large scope and significant impact.
- Work directly with the leadership team and own critical systems.
- Help shape the technical foundation as the company scales.
- Competitive base compensation with equity.
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