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2 часа назад

Software Engineer (AI Agent Platform)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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
Software Engineer (AI Agent Platform) (Python/TypeScript): Building orchestration systems, agent harnesses, and the Agent Manager platform that enables AI agents to test and improve other agents, with an accent on multi-agent workflows, evaluation, and production safeguards. Focus on designing execution systems, implementing guardrails and rollback paths, and shipping full-stack agentic AI features across APIs and front-end tooling.

Location: San Francisco, United States; on-site

Company

hirify.global builds AI revenue technology for essential services and supports AI-first operations across service industries in North America.

What you will do

  • Design and ship the orchestration layer for routing, sequencing, and supervising real-time multi-agent workflows.
  • Build tooling, sandboxes, and evaluation loops that agents use to test and validate outputs before production deployment.
  • Contribute to the Agent Manager system, including guardrails, rollback paths, and human-in-the-loop checkpoints.
  • Develop full-stack features for the agent platform, spanning data models, APIs, and front-end tooling.
  • Work with customer workflows to identify automation edge cases and convert them into platform safeguards.

Requirements

  • New graduate engineer available to start between winter 2026 and summer 2027; earlier availability is preferred.
  • Comfort with Python, including asyncio and FastAPI, and TypeScript, including Node and React.
  • Knowledge of computer science fundamentals, particularly distributed systems.
  • Coursework, internship, or personal-project experience with LLM APIs, evaluation frameworks, RAG, or agent frameworks such as LangChain or MCP.
  • Evidence of shipping complete projects end-to-end and comfort working in ambiguous, emerging technical areas.

Culture & Benefits

  • Work on applied AI for the physical economy, where data and operational problems are complex.
  • Collaborate with experienced builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard.
  • Receive dedicated mentoring throughout the role.
  • Operate with a strong focus on ownership, customer impact, first-principles thinking, execution, and craftsmanship.

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