7 дней назад
Senior Applied AI Software Engineer (AI)
135 000 - 360 000AUD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied AI Software Engineer (AI): Designing and deploying enterprise AI systems, agentic applications, and reusable production architectures with an accent on LLM integration, evaluation, scalable data systems, and customer deployment engineering. Focus on leading technical discovery, hardening prototypes into reliable production systems, mentoring engineers, and improving quality, safety, and monitoring for business-critical workflows.
Location: Hybrid in Sydney or Melbourne, Australia; the role description also states that the position is based in Singapore and includes customer travel.
Salary: A$135,000–A$360,000 per year, plus equity.
Company
is OpenAI’s deployment arm, building enterprise AI transformation solutions and production systems for large organizations.
What you will do
- Lead software engineering workstreams for enterprise customer deployments, owning architecture, implementation quality, evaluation strategy, and production readiness.
- Build production-grade AI applications, agents, and workflow tools using LLMs, retrieval, orchestration, APIs, data systems, and cloud infrastructure.
- Lead technical discovery and translate customer workflows and business requirements into reliable AI systems.
- Guide engineers through ambiguous technical problems, reviewing designs, code, trade-offs, and operating assumptions.
- Prototype quickly and turn successful approaches into reusable reference architectures, platform components, and delivery assets.
- Design evaluation and monitoring approaches and share deployment insights with Product and Research.
Requirements
- Senior software engineering experience building production applications and microservices.
- Experience with APIs, scalable data pipelines, data systems, and cloud infrastructure.
- Strong Python and SQL skills for building enterprise data applications.
- Production experience with LLM systems, including agents, retrieval, evaluation, fine-tuning, prompt engineering, and model integration.
- Experience leading projects from prototype to production and making standardization-versus-customization decisions.
- Ability to write code, review designs, mentor engineers, and communicate clearly with executive, product, research, customer, and engineering stakeholders.
Culture & Benefits
- Hybrid work with customer travel shaped by deployment needs.
- Opportunity to work with the autonomy of a small startup while delivering systems for large enterprises.
- Work focused on ambitious, complex AI deployment challenges.
- Equity is included in the compensation package.
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 →
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