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13 часов назад

Engineering Manager - AI Platform (AI)

Формат работы
remote (только USA)
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

Текст:
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TL;DR
Engineering Manager - AI Platform (GenAI/.NET/Python): Build and lead a platform providing shared GenAI services, AI agents, RAG, semantic search, and workflow automation for public-sector SaaS products with an accent on reusable platform services, secure governance, and scalable cloud-native architecture. Focus on designing distributed systems, establishing AI safety guardrails and evaluations, and delivering APIs, orchestration, and infrastructure across .NET, Python, and AWS.

Location: Remote

Company

hirify.global builds SaaS technology for government and education organizations, supporting public-sector HR, compliance, and employee-management workflows.

What you will do

  • Lead, hire, coach, and grow a small team of AI/ML and platform engineers.
  • Own the roadmap and delivery of shared AI platform services across public-sector SaaS products.
  • Build reusable GenAI services, AI agents, orchestration, RAG, semantic search, tool calling, MCP integrations, and workflow automation.
  • Define platform standards, golden paths, and shared frameworks for engineering teams.
  • Modernize microservices, event-driven systems, API-first services, infrastructure as code, and CI/CD across .NET, Python, and cloud-native environments.
  • Establish AI governance and safety practices, including evaluations, guardrails, tracing, PII protection, and human-in-the-loop workflows.

Requirements

  • 6–8 years of engineering experience, including 1–2 years leading as a manager or tech lead; strong senior or staff engineers transitioning into management are considered.
  • Experience shipping shared or platform services used by other engineers.
  • Hands-on experience with GenAI/LLMs, RAG, vector databases, and semantic search.
  • Strong .NET and Python skills for APIs, backend systems, and AI services.
  • Foundations in distributed systems, microservices, event-driven architecture, API-first design, IaC, containers, CI/CD, and cloud-native SaaS.
  • Working knowledge of AI governance, safety, communication, and cross-functional engineering leadership.

Nice to have

  • Experience building AI platforms, internal AI tooling, or an AI Center of Excellence.
  • Experience with agents, A2A, MCP servers, tool registries, agent memory, and observability.
  • Experience delivering products in regulated or public-sector environments.
  • Familiarity with Langfuse, LangSmith, MLflow, Phoenix, OpenSearch, Snowflake, or Databricks.

Culture & Benefits

  • Remote working opportunities with autonomy and supportive leadership.
  • Medical, dental, vision, and other comprehensive benefits for full-time employees.
  • Generous paid time off and 12 weeks of paid parental leave.
  • 401(k) matching.
  • Inclusive and diverse work environment.

Hiring process

  • The process may include AI screening for keywords and minimum qualifications.
  • Recruiters review all screening results.

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