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23 часа назад

Lead AI Engineer (NBA)

129 300 - 177 800$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
lead
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
Lead AI Engineer (NBA): Building production agentic AI capabilities, workflows, and user-facing analysis for the NBA platform with an accent on LLM integration, RAG, vector search, and reliable AI systems in a regulated healthcare environment. Focus on designing multi-step pipelines, orchestrating tools and models, evaluating output quality, and leading hands-on delivery with a small engineering team.

Location: Remote nationwide in the United States; hybrid work is possible, preferably from Boston, MA, with occasional travel to hirify.global offices for training or meetings.

Salary: $129,300–$177,800 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare and insurance company providing insurance and healthcare services to millions of people, including Medicare and Medicaid members.

What you will do

  • Design, build, and own production agentic AI workflows that provide analysis, recommendations, and automation across the NBA platform.
  • Write and ship production code as a hands-on individual contributor while leading a small team of engineers and contractors.
  • Architect multi-step agentic pipelines integrating data layers, decisioning outputs, activation channels, and user-facing interfaces.
  • Integrate Claude, GPT, or equivalent LLMs using prompt engineering, tool use, structured outputs, and context management.
  • Partner with frontend and product teams to deliver AI-powered experiences in the Command and Control UI and other operator-facing surfaces.
  • Build evaluation frameworks and ensure AI workflows are reliable, auditable, and safe in a regulated healthcare environment.

Requirements

  • 6+ years of software or ML engineering experience, including at least 1–2 years focused on LLM integration, agentic AI, or AI product engineering.
  • Production experience building agentic systems with multi-step pipelines, tool orchestration, structured output handling, and multi-turn conversation management.
  • Production experience with RAG patterns and vector search.
  • Strong Python engineering skills and experience shipping production-grade AI systems rather than prototypes.
  • Experience integrating Anthropic, OpenAI, or equivalent LLM APIs into real applications.
  • Ability to lead a small team or pod through delivery and manage contractor resources.
  • Strong judgment regarding when AI is appropriate, especially in regulated, member-facing contexts.
  • Clear communication skills for explaining agentic architectures to engineers and product owners.
  • Deep fluency with AI productivity tools such as Claude and Copilot.

Nice to have

  • Experience orchestrating multi-agent systems across complex, long-running workflows.
  • Experience integrating agentic AI into bespoke enterprise software and external systems such as Salesforce, Adobe Experience Platform, or claims platforms.
  • Experience building AI-powered analytics or insight surfaces for business intelligence or operational UIs.
  • Background in healthcare, insurance, or other regulated industries where AI outputs carry compliance risk.
  • Experience with AI evaluation frameworks for measuring output quality and detecting drift.
  • Familiarity with the Anthropic Claude API and Claude Agent SDK.

Culture & Benefits

  • Full-time schedule of 40 hours per week, typically Monday through Friday during business hours, with some flexibility based on business needs.
  • Remote or hybrid home/office work with a dedicated workspace and minimum internet speeds of 25 Mbps download and 10 Mbps upload.
  • Occasional travel may be required for training, meetings, or conferences.
  • Benefits include medical, dental, and vision coverage; 401(k); paid time off and holidays; parental and caregiver leave; disability coverage; and life insurance.

Hiring process

  • Applicants who pass the prescreen may be invited to complete a 10–15-minute on-demand assessment through HireVue.
  • If a formal employment offer is extended, SSN entry into Workday will be requested to scan for duplicate profiles.

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