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2 дня назад

Software Engineer - Applied AI

200 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK/Singapore/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer - Applied AI (Python/AI): Building scalable infrastructure, research environments, evaluation systems, and production AI agents for quantitative research and software development with an accent on model training, post-training, reinforcement learning, and agent evaluation. Focus on designing autonomous systems, implementing sandboxing and policy enforcement, and turning AI experiments into durable systems.

Location: London, United Kingdom; New York, NY, United States; or Singapore

Base salary: USD 200,000–300,000 per year, plus discretionary performance-based bonuses and competitive benefits.

Company

hirify.global applies scientific methods, advanced computing, and algorithmic trading research to financial markets.

What you will do

  • Build scalable infrastructure for training, evaluating, and operating language models and AI agents.
  • Develop research environments, evaluation systems, and experimentation platforms for measuring and improving agent performance.
  • Improve model and agent capabilities through post-training, reinforcement learning, prompting, tool design, and workflow optimization.
  • Design sandboxing, policy enforcement, monitoring, and other safeguards for autonomous systems.
  • Partner with teams across HRT to identify valuable AI applications and turn successful experiments into durable production systems.
  • Evaluate new models, techniques, and products, and establish effective AI engineering practices.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Strong Python proficiency and excellent software design, debugging, and problem-solving skills.
  • Experience building and operating substantial software systems.
  • Demonstrated engagement with modern AI systems, tools, or research.
  • Ability to work across research and production engineering, learn unfamiliar domains, and collaborate with varied technical teams.

Nice to have

  • Machine learning research or engineering, including post-training, fine-tuning, reinforcement learning, or alignment.
  • AI-agent architecture, evaluation, or tool-use environments.
  • Distributed systems, model serving, orchestration, or high-throughput research infrastructure.
  • Security sandboxing, policy enforcement, adversarial testing, or AI governance.
  • Forward-deployed engineering, Linux, systems performance, networking, C++, or TypeScript.

Culture & Benefits

  • Scientific and collaborative approach to algorithmic trading and technology development.
  • Access to a sophisticated computing environment for research and development.
  • Culture of openness, transparency, knowledge sharing, and technical innovation.
  • Competitive benefits package and discretionary performance-based bonuses.
  • Diverse, inclusive community with collaboration across global offices.

Hiring process

  • AI tools are strictly prohibited during interviews or assessments unless explicitly authorized.
  • Candidate responses may be evaluated for authenticity, and unauthorized AI assistance may result in disqualification.

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