11 дней назад
AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Applied AI/Cloud): Building and operating customer-facing AI systems for healthcare workflows with an accent on full-lifecycle delivery, production reliability, and product collaboration. Focus on designing AI-based solutions, evaluating and deploying frontier models, and scaling maintainable applications with Python, C#, TypeScript, Docker, Terraform, and AWS.
Location: Milwaukee, WI, United States; the job is to be performed in the listed location.
Company
builds products and AI systems that support senior care and the people who deliver it.
What you will do
- Design, build, deploy, and operate AI systems in customer-facing production environments.
- Translate ambiguous customer and business problems into prototypes and technical specifications.
- Evaluate AI capabilities and apply them to workflows where they create clear leverage.
- Own product discovery, experimentation, evaluation, deployment, monitoring, and long-term system maintainability.
- Make system design and scaling decisions while building legible codebases and improving development tooling.
- Partner with product managers to develop AI-native product solutions.
Requirements
- 2+ years of experience in software engineering or applied AI.
- Strong applied AI and software engineering fundamentals.
- Experience using AI development tools in full-stack applications and designing AI-based solutions for real workflows.
- Working knowledge of cloud platforms and frontier AI platforms.
- Ability to work with high autonomy, ownership, product judgment, and customer feedback.
- Productive technologies include Python, C#, TypeScript, PostgreSQL, Docker, Terraform, AWS, and frontier model ecosystems.
Nice to have
- Degree in Computer Science, Engineering, Data Science, or a related field.
- Experience operating AI systems in production, including evaluation, cost, and performance tradeoffs.
- Experience in early-stage startups, forward-deployed engineering, or internal product teams.
- Experience with large-scale Python, C#, and TypeScript codebases.
- Experience integrating AI into established products or working with healthcare, regulated, or sensitive data.
Culture & Benefits
- High autonomy and ownership focused on outcomes rather than deliverables.
- Emphasis on shipping, iteration, customer feedback, and continuous improvement.
- Direct collaboration with customers and product teams.
- Generous benefits package.
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