Applied AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Applied AI Engineer (AI): Design, build, and ship production-grade AI agents and workflows for critical industries like healthcare, manufacturing, and energy with an accent on high-impact business value and agentic systems. Focus on shaping AI strategy, identifying use cases, rapid deployment, and advancing core AI toolkit.
New York City
Compensation $150K – $300K • Offers Equity
Company
transforms critical institutions with applied AI through forward-deployed engineering, product, research expertise, and the Mosaic toolkit for agentic workflows, in partnership with General Catalyst, Anthropic, McKinsey, and AWS.
What you will do
- Shape the AI vision by collaborating with customer executives, operators, and technical teams to define long-term AI strategy and transformation roadmap.
- Identify high-leverage use cases by working backwards from vision to prioritize AI applications delivering measurable business value.
- Ship real products by rapidly building and deploying production-grade AI solutions with real users and data.
- Advance core product by encoding customer lessons into Mosaic, contributing new features, patterns, and abstractions.
Requirements
- AI-nativeness: Excited about transforming businesses with frontier AI in critical institutions.
- Generative and collaborative: Enjoy brainstorming "what if" ideas with teammates and partners.
- Extreme ownership: Proactively identify and execute next steps without waiting for direction.
- Execution excellence and speed: Build and ship code quickly in messy environments, balancing speed and quality.
- Customer-obsession: Understand pain points and iterate with end users for quick wins.
Nice to have
- Hands-on experience with LLM tooling (LangGraph, Mastra, Agents SDK, etc).
- Built and deployed production LLM-powered systems (tool use, RAG pipelines, multi-step agents, human-in-the-loop).
- Strong technical foundations in Python/TypeScript, cloud deployment (AWS/GCP/Azure), and DevOps tooling.
- Prior startup or founding engineer experience.
Culture & Benefits
- Dream bigger: Tackle ambitious problems with optimism, responsibility, and belief in success.
- Heart in the game: Care deeply about impactful work, fixing issues proactively, and honoring customer trust.
- Win for the customer: Focus on outcomes over outputs, with delivery as the core strategy.
- Make the call: Empower high-agency decisions with high-bandwidth communication, no silos.
- Intensity with kindness: Excel in execution, candor, prioritization, and urgency while building trust through kindness.
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 →