Назад
Company hidden
5 дней назад

Staff Software Engineer, AI

210 000 - 263 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Staff Software Engineer, AI (LLM/RAG): Developing and integrating production AI capabilities for a fintech automation platform with an accent on LLM APIs, RAG applications, and scalable AI system architecture. Focus on model orchestration, rate-limit and cost optimization, AI feature evaluation, production monitoring, and data-intensive pipelines.

Location: New York, United States. Candidates who live within a reasonable commute to a hirify.global office must work in the office at least 3 days a week.

Salary: $210,000–$263,000 per year, plus eligible short-term and long-term incentive programs.

Company

hirify.global is a technology-based company developing finance automation products and an AI platform.

What you will do

  • Develop and refine AI capabilities for client-facing solutions, taking concepts from ideation through production.
  • Integrate AI solutions into existing production processes.
  • Design and implement scalable AI system architecture, including model orchestration, caching strategies, and fallback mechanisms.
  • Evaluate and implement new AI technologies and methodologies.

Requirements

  • 4+ years of experience as a Full Stack Software Engineer or in a similar role developing, shipping, and testing software in an established enterprise.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Production experience with LLM APIs such as OpenAI, Anthropic, or Google, including rate-limit handling, cost optimization, and performance monitoring.
  • Production experience using RAG frameworks with proprietary applications and datasets.
  • Experience with AI system testing, model evaluation, A/B testing of AI features, and production model-performance monitoring.
  • Experience with data pipelines and ETL/ELT processes.

Nice to have

  • Experience working with firewalls, routers, and load balancers.

Culture & Benefits

  • Professional development seminars and learning opportunities.
  • Inclusive affinity groups supporting diverse backgrounds and perspectives.
  • Short-term and long-term incentive programs based on eligibility.
  • Benefit and wellness plans.
  • Workplace combining virtual and in-person collaboration.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →