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Senior Software Engineer (AI)

175 000 - 225 000$
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): Building and evolving an internal Agentic AI platform and AI-powered workflows for analyzing market news, security data, SEC filings, emails, and other investment data sources with an accent on agentic applications, APIs, asynchronous architectures, and cloud infrastructure. Focus on designing AI agents and evaluation frameworks, integrating MCP servers and gateways, and delivering reliable solutions with product teams and business stakeholders.

Location: New York, New York, United States

Salary: $175,000–$225,000 base pay per year, with potential performance bonus and benefits.

Company

hirify.global is a global multi-manager hedge fund using proprietary technology, infrastructure, and risk analytics across quantitative, tactical, fundamental equity, and discretionary macro and fixed-income strategies.

What you will do

  • Build and evolve the firm’s internal Agentic AI platform and associated tooling.
  • Design AI-powered workflows that continuously analyze market news, security data, SEC filings, emails, and other sources to surface information supporting investment decisions.
  • Create agentic AI tools and contribute to the MCP Server, MCP Gateway, and agent evaluation framework.
  • Work with product teams and business stakeholders to define features and build AI-powered applications.
  • Perform user acceptance testing and iterate on designs and implementations.
  • Improve code quality, development lifecycle practices, and the core platform.

Requirements

  • 5+ years of professional software engineering experience, preferably with Python.
  • Experience creating and integrating REST APIs and working with event-driven and asynchronous architectures.
  • Experience with relational databases such as Postgres and MySQL, and NoSQL databases such as DynamoDB and Elasticsearch.
  • Experience with AWS services, Kubernetes-driven deployments, GitHub Actions, and modern CI/CD pipelines.
  • Strong problem-solving and communication skills, including the ability to explain technical concepts to non-technical stakeholders.
  • Passion for using AI as a problem-solving and productivity tool.

Nice to have

  • Experience developing agentic AI applications, harnesses, MCP servers, or workflows.
  • Experience building AI agents, Retrieval-Augmented Generation pipelines, or agentic tools.
  • Familiarity with observability tools such as Datadog.

Culture & Benefits

  • Collaborative, teamwork-oriented environment where ideas are encouraged at all levels.
  • Learning and educational opportunities for professional development.
  • Opportunities to make an impact through ambitious, innovative work.
  • Internal networks, external partnerships, and service initiatives supporting inclusion and community.
  • Potential performance bonus and competitive benefits package.

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