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Senior Software Engineer - AI

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer - AI (LLMs/RAG): Building and shipping AI-powered product features for automated setup, intelligent surveys, contextual analysis, and generated reporting with an accent on full-stack delivery, LLM integration, and production reliability. Focus on designing evaluations, balancing model quality, cost, and latency, and establishing reusable patterns for maintainable AI systems.

Location: Remote, Europe

Company

hirify.global is a B2B SaaS portfolio company supporting 25 software brands, including Usersnap, with a fully remote team spanning more than 50 countries.

What you will do

  • Design, build, and ship AI-powered features from prototypes through production launch.
  • Work hands-on with LLMs, embeddings, and related AI tooling to solve product problems.
  • Own architecture, model selection, integration strategy, and quality, cost, and latency tradeoffs.
  • Build across frontend, backend, and infrastructure as needed, ensuring features are tested, monitored, and maintainable.
  • Establish reusable practices for AI feature development and identify reliability, cost, and edge-case risks early.
  • Partner with engineering leadership, Product, and the wider engineering team on planning, requirements, and shared architecture.

Requirements

  • 7+ years of software engineering experience, including shipping AI features to production and owning their full lifecycle.
  • Strong full-stack fundamentals across frontend, backend, and infrastructure.
  • Practical experience with LLM APIs, prompt engineering, RAG, or similar techniques in live systems.
  • Experience defining success metrics, designing experiments, and running offline and online evaluations.
  • Solid SQL, basic schema design, simple data pipelines, and hands-on data analysis skills.
  • Docker, CI/CD, logging, monitoring, prompt and model versioning, multiple LLM providers, vector databases, and LangChain or a similar tool.

Nice to have

  • Experience with compliance or security, or a strong interest in these areas.
  • Experience fine-tuning models when appropriate.

Culture & Benefits

  • 100% remote work with flexible working hours.
  • High-trust environment with autonomy and support when needed.
  • Lean working style with minimal bureaucracy and sustainable momentum.
  • Friendly team and internal community for exchanging SaaS knowledge and expertise.
  • Flexible time off.

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