Назад
Company hidden
2 часа назад

LLM Applications Engineer

130 000 - 175 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK/US/Germany
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
LLM Applications Engineer (Generative AI/Full-Stack): Designing and scaling LLM infrastructure and AI features for a scientific R&D platform with an accent on retrieval systems, agentic workflows, and grounded responses from experimental data. Focus on building AI-driven interfaces, integrating LLMs with SQL databases and data analysis engines, and optimizing production performance.

Location: Hybrid in New York, San Francisco, Munich, or London

Salary: $130K–$175K annually plus equity

Company

hirify.global is building an AI-first R&D ecosystem that helps scientists at Fortune 500 companies accelerate scientific discovery through Generative AI.

What you will do

  • Design, build, and scale LLM infrastructure for the hirify.global Web Platform.
  • Develop user-facing AI features and intuitive UI components for querying, analyzing, and visualizing experimental datasets.
  • Build retrieval systems, agentic workflows, and data pipelines that connect experimental data with actionable AI insights.
  • Integrate LLM capabilities with SQL databases and data analysis engines to produce grounded, high-fidelity responses.
  • Work across the AI backend and React frontend while improving API performance and asynchronous processing.

Requirements

  • At least 2 years of software development experience focused on full-stack web applications.
  • Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Haystack.
  • Proficiency in Python and JavaScript or TypeScript.
  • Experience with API design, asynchronous processing, and performance optimization.
  • Ability to work with the listed hybrid office locations.

Nice to have

  • B.S. in Computer Science or a related technical field.
  • Experience evaluating LLMs and mitigating hallucinations in scientific or technical contexts.
  • Familiarity with SQL query optimization for LLM context generation.
  • Product mindset focused on seamless LLM-first user experiences.

Culture & Benefits

  • Work with an AI-first engineering approach and agentic coding practices.
  • Backend stack: Flask, Python, and Postgres.
  • Frontend stack: React, TypeScript, Redux, and Sass.
  • Equity compensation.
  • Health and dental insurance.
  • 401(k) with employer contribution.

Hiring process

  • Follow-up information is provided through the company's interviewing guide.

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 →