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7 часов назад

Senior Software Engineer (AI/LLM)

185 000 - 225 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Software Engineer (AI/LLM): Design, build, and deploy AI-powered and LLM-driven features for a medical claim synthesis product with an accent on hybrid machine learning approaches combining LLMs, statistical models, and retrieval-augmented generation. Focus on developing scalable, robust AI/ML systems, prompt engineering, and translating cutting-edge AI research into production-grade solutions.

Location: Onsite in the United States with visa sponsorship available for transfer candidates.

Salary: $185,000–225,000 per year plus bonus and equity.

Company

hirify.global is a fast-growing AI guidance platform company focused on transforming the insurance industry by improving outcomes for injured and disabled workers.

What you will do

  • Design, build, and deploy AI-powered and LLM-driven features for claim synthesis including extraction from complex medical documents and human-in-the-loop summarization workflows.
  • Develop hybrid machine learning solutions leveraging LLMs, statistical models, and embeddings-based retrieval techniques such as RAG.
  • Write clean, scalable, and efficient code while optimizing AI/ML system performance in production.
  • Collaborate with data labelers and subject matter experts to evaluate AI outputs and improve model performance.
  • Partner with Product teams to iterate rapidly on feedback and deliver impactful features.
  • Translate AI/ML research into reliable, maintainable production solutions.

Requirements

  • Must have 3+ years of Python development experience and 1+ year building and deploying LLM-powered products.
  • Experience with hybrid AI approaches including LLMs, RAG, embeddings, and statistical machine learning.
  • Proven ability to build and integrate API services in microservice architectures.
  • Strong skills in evaluating LLM outputs and aligning model behavior with business outcomes.
  • Expertise in prompt engineering and fine-tuning LLMs for domain-specific applications.
  • Location: Must be based in the United States or eligible for visa transfer sponsorship.

Nice to have

  • Experience translating state-of-the-art AI/ML research into production code.
  • Comfortable collaborating with data labelers and SMEs to improve training data and evaluation.
  • Experience building agentic or autonomous AI systems in production.
  • Background working with multimodal data such as images and audio.

Culture & Benefits

  • Competitive base salary with annual bonus and equity (RSUs).
  • Comprehensive medical, dental, vision, disability, life insurance, and 401k matching.
  • Paid parental leave and flexible schedules for new parents.
  • Catered lunches, happy hours, pet-friendly office, and monthly technology stipend.
  • Professional development budget and tuition reimbursement opportunities.
  • Visa sponsorship available for eligible candidates in the US.

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