обновлено 5 дней назад
Applied AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Engineer (Python/LLMs): Building and shipping AI features from models through production systems to user experiences, with an accent on agent workflows, persistent context, and reliable real-world task completion. Focus on designing evaluations, debugging across model and infrastructure layers, and optimizing latency, cost, and production reliability.
Location: Remote, Zurich, Switzerland
Company
is building proactive AI-native applications that help users manage conversations, errands, organization, and workflows with minimal prompting.
What you will do
- Build and ship AI features end-to-end, from model capabilities through production systems and user experience.
- Design and iterate on prompts, tools, memory, and agent workflows.
- Transform raw model outputs into structured, reliable, and predictable behaviors.
- Debug issues across models, orchestration, infrastructure, and UX.
- Optimize AI systems for latency, cost, accuracy, and production reliability.
- Develop evaluation frameworks and collaborate with product, engineering, and research teams to improve ML-powered features.
Requirements
- Strong foundation in machine learning and modern neural network architectures.
- Hands-on experience training, fine-tuning, or deploying ML models.
- Production-quality Python development skills.
- Experience with PyTorch or JAX, LLMs, inference or serving systems such as vLLM, and vector databases.
- Ability to work across model, infrastructure, and product abstraction layers in ambiguous, fast-moving environments.
Culture & Benefits
- Work with a small, high-performing team building practical AI products for users worldwide.
- Make decisions collectively while moving quickly and balancing quality with learning.
- Operate with structure, independent judgment, and a strong bias toward shipping and continuous improvement.
- Interviews are conducted via virtual meetings and/or onsite, with a process of three to four interviews.
- Expect a prompt hiring decision after the evaluation.
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