Principal Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Software Engineer (AI): Building the backend and orchestration layer for an AI-powered audit and accounting platform with an accent on turning frontier models into production-grade workflows at scale. Focus on architecting high-throughput services, designing AI agents, and managing large-scale data retrieval and indexing strategies.
Location: New York
Company
Partnered with an AI lab building the next generation of audit and accounting products used by professionals in real client work.
What you will do
- Own the AI backbone, including the backend and orchestration layer for agents, conversations, workspaces, and knowledge bases.
- Architect backend services using Python, FastAPI, PostgreSQL, and AWS to power generative AI agents and document-centric workflows.
- Develop AI orchestration systems covering routing, tool calling, MCP servers, multi-step workflows, and guardrails for LLMs.
- Optimize systems for high throughput and low latency via caching, queuing, rate limiting, and model failover strategies.
- Manage large-scale data processing, including vector stores and indexing strategies for millions of documents.
- Lead multi-quarter initiatives across AI, product, and infrastructure, while mentoring staff and senior engineers.
Requirements
- 8-10+ years of backend development experience building scalable web services and APIs.
- Deep expertise in Python, with production experience in FastAPI, PostgreSQL, and AWS.
- Strong background in distributed systems, including data modeling, API contracts, and performance tuning under load.
- Proven track record of owning large, complex projects end-to-end from architecture to long-term operation.
- Genuine interest in AI-native software, LLMs, and retrieval systems.
- Location: Must be based in New York
Nice to have
- Hands-on experience with LLM API integration (OpenAI, Anthropic).
- Experience with vector databases, embeddings, or semantic search.
- Prior work in regulated domains such as fintech, tax, audit, or legal.
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