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Applied AI Engineer

Saunders Scott | New York, New York, United States | 3mo ago
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Original posting (closed) below
full-time | hybrid | mid
skills: kubernetes, cloud platforms, python, fastapi, react, typescript, generative ai, ai/ml frameworks

Applied AI Engineer

Architect and build production-grade AI applications from zero to one

You will own end-to-end development of production AI systems serving real customers from day one.

▪ Competitive base salary and benefits

▪ Meaningful upside participation in the value you create

▪ Direct access to 50+ portfolio companies and their operations

▪ Flat structure with direct access to leadership

▪ Your code reaches thousands of users from day one

Technical Excellence

  • Strong engineering fundamentals with experience building production AI systems.
  • Comfortable across the stack, e.g. infrastructure (K8s, cloud platforms), backend (Python, FastAPI), and frontend (React, TypeScript).•Additional benefits:

▪ Architect and build production-grade AI applications from zero to one

▪ Design systems that handle enterprise-scale data and millions of users from day one

▪ Implement everything from model serving infrastructure to polished user interfaces

▪ Make critical technical decisions balancing innovation with reliability

▪ Ship with velocity: build like a start-up, scale like an enterprise

  • Able to pick up new languages and technologies quickly as builds vary across portfolio companies.
  • Hands-on experience with modern AI/ML frameworks and deployment patterns, including generative AI.
  • Track record of shipping products that scale to thousands of users.

▪ Navigate the complexity of implementing AI in messy, regulated, legacy-filled enterprise environments

▪ Build solutions that work with imperfect data, demanding SLAs, and complex stakeholder requirements

▪ Transform cutting-edge research into revenue-generating products, not demos

▪ Tackle technically challenging problems across fintech, enterprise SaaS, B2B services and more

▪ Lead product development across multiple portfolio companies and industries

▪ Hone your skills across different verticals in 9-18 month sprints

▪ Build institutional knowledge about what makes AI products succeed or fail

▪ Own the entire AI product lifecycle from ideation to production

▪ Demonstrated ability to ship fast without sacrificing quality

▪ Experience in high-growth startups or equally fast-paced environments

▪ Strong opinions, loosely held: able to make decisions with incomplete information

Location: New York (in-person 3 days/week, with travel to portfolio companies)

Benefits

competitive base salary · meaningful upside participation · direct access to portfolio companies · flat structure · direct access to leadership · health insurance
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