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8 часов назад

Lead Applied AI Software Engineer (AI)

170 800 - 234 800$
Формат работы
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 Applied AI Software Engineer (AI) (Generative AI/Healthcare): Architecting and deploying production-grade AI systems, including RAG pipelines, multi-agent orchestration, and multi-model integrations, with an accent on scalability, observability, evaluation, and responsible healthcare technology. Focus on building secure AI platforms for millions of member interactions, optimizing retrieval and model performance, and meeting HIPAA, FDA, and ethical AI requirements.

Location: Hybrid office position in designated Tech Market locations: New York City, Louisville, KY, or Dallas, TX

Salary: $170,800–$234,800 per year, plus eligibility for a bonus incentive plan

Company

hirify.global is a U.S. healthcare company providing insurance and healthcare services through hirify.global and CenterWell.

What you will do

  • Architect and deliver production-grade AI systems with RAG pipelines, multi-agent orchestration, tool use, memory, and multi-model integrations.
  • Define organization-wide standards for prompt engineering, evaluation, model selection, caching, observability, and performance optimization.
  • Deploy reliable AI services with logging, tracing, dashboards, alerting, graceful degradation, circuit breakers, and incident response.
  • Design data ingestion, preprocessing, vector search, hybrid retrieval, and data quality monitoring architectures.
  • Drive quantitative evaluation and continuous improvement through A/B testing, telemetry analysis, user feedback, and model optimization.
  • Partner with platform teams on GPU capacity, networking, storage, model serving, and enterprise integrations while mentoring engineers and promoting responsible AI practices.

Requirements

  • More than 7 years of software engineering experience focused on applied AI/ML, distributed systems, and full-stack architectures.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
  • Deep experience designing and deploying generative AI systems, including multi-hop RAG, agent frameworks, conversational AI, and multi-model systems.
  • Strong proficiency in Python and experience with React, FastAPI, vector databases, embedding models, LLM APIs, and orchestration frameworks.
  • Experience establishing prompt testing, version control, evaluation frameworks, observability, cost tracking, and benchmarking practices.
  • Knowledge of responsible AI, fairness, transparency, model risk management, validation, and regulated-environment deployment requirements, including HIPAA and FDA guidance.

Nice to have

  • Experience providing technical direction across organizational boundaries and mentoring engineering talent.
  • Experience collaborating with product, data science, design, security, compliance, and business stakeholders.
  • Experience in the healthcare industry.

Culture & Benefits

  • Hybrid work with occasional work from home for focused work and work-life balance.
  • Home or hybrid employees need a minimum internet speed of 25 Mbps download and 10 Mbps upload.
  • Dedicated workspace required to protect member PHI and HIPAA information.
  • Benefits include medical, dental and vision coverage, 401(k), paid time off, holidays, volunteer time off, parental and caregiver leave, disability coverage, and life insurance.
  • 40 scheduled hours per week.

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