Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$180к-225к/год
$170к$190кмедиана$260к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $4.4к/мес ($3.6к - $5.4к)
85
Отличная вакансия
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Это четко определенная роль с высокой зоной ответственности, сфокусированная на внедрении AI-агентов в продакшн в специализированной нише.
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Современный AI-стекЧеткая зона ответственностиТрендовый домен
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer (Casualty / Claims Intelligence) (LLM agents and insurance claims): Building production AI agents for medical bills, claims decision support, and agentic rules platforms with an accent on orchestration, retrieval, evaluations, and guardrails. Focus on shipping measurable improvements, handling sensitive health data, and optimizing observability, cost, and latency.
Location: Remote, United States of America; Chicago (Green St), IL
Salary: $180,000–$225,000 per year; bonus eligible
Company
hirify.global provides a cloud platform and AI solutions for the insurance economy, supporting insurers, repairers, automakers, parts suppliers, and claims operations.
What you will do
Design and build LLM-powered agents and workflows for medical bills, claims decision support, and casualty products.
Build evaluations with data labelers and subject matter experts and run them on every change.
Make agents production-grade through guardrails, observability, and cost and latency optimization.
Handle sensitive health data carefully and ship measurable improvements to production agents.
Requirements
Typically 5+ years of professional software or ML engineering experience, including meaningful recent work with LLMs.
Strong production engineering skills in Python, including API services, and comfort working in TypeScript.
At least 1 year of shipping LLM-powered products to real users, including retrieval with RAG, embeddings, and vector search, plus prompt engineering.
Experience designing evaluations for non-deterministic systems and measuring results before and after every change.
Quantitative mindset with comfort using metrics, sampling, and error analysis to determine whether results are real.
Real experience shipping faster with AI-assisted or agentic engineering tools, with examples to discuss.
Nice to have
Experience with document understanding, OCR, or extraction from complex documents.
Experience fine-tuning LLMs or working with multimodal data.
Culture & Benefits
Values include integrity, customer focus, innovation, inclusion and diversity, tenacity, and connection.
Benefits include 401K matching, paid time off, comprehensive health insurance, adoption assistance, tuition reimbursement, wellness programs, and stock purchase plan options.
Annual incentive plan performance bonus and employee resource groups are available.
A video interview is required; interviews are transcribed and may be reviewed by CCC and its recruiters.
Generative AI or automated assistance is not permitted during interviews unless explicitly allowed for a specific exercise.
Hiring process
Complete a required video interview, which will be transcribed and retained for review.
Do not use generative AI or automated assistance during interviews unless the interview team explicitly permits it for a specific exercise.
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