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5 дней назад

Staff Engineer, Applied AI

194 000 - 220 000$
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
Staff Engineer, Applied AI (Python/LLM): Building and productionizing AI foundations, agentic tools, retrieval systems, and workflow capabilities that improve operational decision-making across aging care with an accent on secure model access, governed data pathways, observability, and measurable quality. Focus on designing reliable human-in-the-loop systems, reusable AI architecture, evaluation frameworks, and closed-loop feedback systems for production use.

Location: Remote position

Hiring salary range: $194,000–$220,000 USD annually

Company

hirify.global develops technology, tools, and services that support aging in place and in-home care through its Honor and Home Instead brands.

What you will do

  • Design, build, and productionize foundations for applying AI across operating models, product systems, and internal workflows.
  • Develop AI-assisted sales follow-up, operational defect analysis, retrieval and memory systems, internal agentic tools, and AI-powered data analysis.
  • Build secure model access, compliant data pathways, observability, cost controls, evaluation patterns, and reusable AI architecture.
  • Create human-in-the-loop workflows and feedback systems that connect audits, product changes, and measurable business outcomes.
  • Collaborate with engineering, product, design, data, operations, security, and business stakeholders.
  • Participate in an on-call rotation with the tier 1 support team.

Requirements

  • Production-grade experience with Python or transferable experience in languages such as Node.js, with willingness to learn Python.
  • Experience designing reliable data models and working with relational databases at scale.
  • Experience contributing to large, complex projects and working with legacy monolithic systems and new services.
  • Ability to build systems connecting user-facing workflows, backend services, data pipelines, and AI or LLM capabilities.
  • Strong communication skills and the ability to explain technical tradeoffs to technical and non-technical audiences.
  • Careful consideration of quality, observability, privacy, security, and operational risk.

Nice to have

  • Experience with LLM-powered products, AI agents, retrieval systems, memory systems, or evaluation frameworks.
  • Experience with AWS Bedrock, OpenAI, Gemini, Anthropic, or similar model platforms.
  • Knowledge of secure data access, RBAC, auditability, compliant data workflows, and human-in-the-loop review.
  • Experience with microservices, RPC architecture, React, DataDog, workflow automation, or operational tools.
  • Experience mentoring engineers and spreading technical knowledge.

Culture & Benefits

  • Remote-first work environment with cross-functional collaboration.
  • Equity packages that increase with position level and responsibilities.
  • 401(k) plan with up to a 4% employer match.
  • Medical, dental, and vision coverage, including zero-cost employee plans.
  • Employer-paid short-term disability, long-term disability, and life insurance.
  • Paid time off, mental health benefits, wellness support, and discount programs.

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