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обновлено 7 дней назад

Senior Software Engineer (AI Tools)

225 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer – AI Tools | Data Engineering | Experienced Hire (AI Tools): Designing and deploying production-grade AI agents that automate workflows across codebases, APIs, internal tools, and data pipelines with an accent on RAG architectures, agent orchestration, and secure handling of proprietary data. Focus on mitigating LLM failure modes, defining deterministic tool behaviors, and building reliable autonomous systems for developers, quants, and traders.

Location: New York, New York; onsite

Annual base pay: $225,000–$250,000, plus discretionary bonus and benefits.

Company

hirify.global is a global quantitative trading firm using scientific research, machine learning, and advanced technology to develop systematic trading strategies.

What you will do

  • Design and implement autonomous and semi-autonomous AI agents for multi-step workflows across internal systems.
  • Build and productionize retrieval-augmented generation architectures using structured, permissioned data sources.
  • Develop agent memory, orchestration layers, inter-agent communication, and tool schemas.
  • Implement safeguards against hallucination, prompt drift, context-management issues, and rate limits.
  • Partner with developers, quants, and traders to identify automation opportunities and deploy solutions.
  • Evaluate and integrate emerging models, frameworks, and open-source AI tooling.

Requirements

  • 5–10+ years of software engineering experience and a track record of building AI-powered applications, automation platforms, or agentic systems in production.
  • Expert-level Python, including async programming, typing, packaging, and testing best practices.
  • Experience building AI agents that interact with APIs, tools, codebases, and shell environments.
  • Strong understanding of RAG patterns and vector databases such as Pinecone, Chroma, or pgvector.
  • Familiarity with agent frameworks such as LangChain or LangGraph, plus deep understanding of LLM behavior and mitigation strategies.
  • Strong system design skills, independent execution, and experience handling sensitive or proprietary data securely.

Culture & Benefits

  • Hands-on work within a newly formed AI systems initiative.
  • Opportunity to define scalable patterns for deploying AI agents across the firm.
  • Collaborative environment bringing together researchers, engineers, quants, and traders.
  • Discretionary bonus and employee benefits.

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