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GenAI Software Engineers

255 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Релокация
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
GenAI Software Engineers (LLM/Healthcare AI): Building dependable agentic LLM workflows and production-grade clinical systems with an accent on retrieval, structured tool use, evaluation, and clinical reliability. Focus on designing experiments to expose failure modes, optimizing low-latency workflows, and deploying monitored AI systems with post-processing guardrails.

Location: Hybrid; must work from the San Francisco or New York office at least 3 times per week. Relocation assistance is available for candidates willing to move to San Francisco.

Salary: $255,000–$300,000 estimated annual base salary for mid, senior, and staff-level engineers, plus equity.

Company

hirify.global is a healthcare AI company building an enterprise platform that transforms patient-clinician conversations into structured clinical notes with real-time EMR integrations.

What you will do

  • Design and build agentic systems using LLMs, retrieval, structured outputs, tool use, and agentic reasoning.
  • Scale and optimize workflows by managing latency, context windows, model selection, and intermediate state.
  • Make architectural decisions about data flow, generative outputs, caching, and workflow structure.
  • Build benchmark datasets and automated and human-in-the-loop evaluation frameworks.
  • Design experiments, run A/B tests, investigate failure modes, and incorporate clinician feedback into model improvement.
  • Productionize LLM workflows in low-latency, high-uptime environments with monitoring, observability, guardrails, and versioning.

Requirements

  • 3+ years of experience building production-grade systems, including 1–2+ years focused on LLM-powered or agentic products.
  • Deep familiarity with LLM APIs, prompting strategies, and orchestration patterns such as LangChain, LlamaIndex, or custom pipelines.
  • Experience with retrieval systems, vector databases, efficient k-nearest-neighbor search, function calling, tool use, or agentic workflows.
  • Knowledge of model evaluation, diverse dataset development, automated and human-in-the-loop evaluation, A/B testing, and collaboration with subject-matter experts.
  • Strong Python fundamentals, clean modular code, comprehensive test cases, and familiarity with core language features and standard libraries.
  • Ability to work from the San Francisco or New York office at least 3 times per week.

Nice to have

  • Experience with asynchronous programming, performance profiling, packaging, and deployment tooling.
  • Experience rapidly prototyping with new models, open-source tools, and advanced prompting techniques.

Culture & Benefits

  • Fast-paced, high-growth startup environment with an emphasis on ownership, empathy, and measurable impact.
  • Flexible work hours, inclusive culture, and ongoing learning opportunities.
  • Paid holidays, flexible PTO, paid parental leave, and sabbatical leave after 5 years.
  • Medical, dental, vision, HSA, FSA, commuter, and mental health benefits.
  • 401(k) matching, personal device allowance, lifestyle wallet, family-forming benefits, and equity grants.

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