Applied AI Engineer, Digital Natives
Remote • New York City • FullTime
Posted 2mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
As an Applied AI Engineer in the Digital Native segment, you will work with industry-leading technology companies to bring new AI capabilities into the products their customers use every day. You will partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products, requiring strong technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. Success is measured by production systems, sustained adoption, and meaningful customer impact.
Responsibilities
- Deeply embed with sophisticated platform customers as a technical thought partner for building novel applications on our API.
- Forge relationships with CTOs, AI Product and engineering leaders to ensure successful application deployment at scale.
- Provide proactive guidance to customers on maximizing business impact from their applications.
- Build targeted prototypes, pilots, and model evaluations with customer teams.
- Collaborate with Product and Research teams to validate frontier AI capabilities and provide feedback.
- Scale the Applied AI Engineer function by sharing knowledge and publishing best practices.
- Evaluate emerging model capabilities, developer tools, and implementation patterns, translating advances into recommendations.
- Work alongside customer teams through on-site workshops and implementation sessions to resolve technical challenges.
Requirements
- 8+ years of deep, hands-on technical experience and eagerness to work closely with customers.
- Track record of personally leading complex, production-scale AI/ML systems from discovery through production deployment and impact.
- Passion for the latest AI industry trends, including agent architecture patterns, advanced prompt and context engineering, evaluation frameworks, safety, and security.
- Proficiency in Python, JavaScript, TypeScript, or similar languages.
- Comfort building production-quality prototypes and reference implementations.
- Strong technical judgment and ability to make clear recommendations with incomplete information.
- Humble attitude and eagerness to help others with empathy.
- High horsepower, adeptness at frequent context switching, and ability to work on multiple projects with expansive ownership.
- Ability to ruthlessly prioritize.
- Thrive in dynamic environments and navigate ambiguity with ease.
Benefits
- Relocation assistance to new employees.