Applied AI Engineer, Digital Natives
Remote • San Francisco • FullTime
Posted 2mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
The Applied AI Engineering team is responsible for the safe and effective deployment of generative AI applications for developers and enterprises. As an Applied AI Engineer in the Digital Native segment, you will work with industry-leading technology companies to bring new AI capabilities into their products. You'll 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 through production launch and scale. Success is measured by production systems, sustained adoption, and meaningful customer impact.
Responsibilities
- Deeply embed with sophisticated platform customers, serving as their technical thought partner in ideating and building novel applications on our API.
- Forge relationships with CTOs, AI Product and engineering leaders to ensure successful application deployment at scale.
- Proactively provide guidance to customers on maximizing business impact from their applications.
- Build targeted prototypes, pilots, and model evaluations with customer teams to test product ideas and guide architecture decisions.
- Collaborate with Product and Research teams in validating upcoming frontier AI capabilities in customer environments.
- Scale the Applied AI Engineer function through sharing knowledge and publishing best-practices.
- Evaluate emerging model capabilities, developer tools, and implementation patterns, and translate advances into practical recommendations.
- Work alongside customer teams through on-site workshops and implementation sessions, helping resolve technical challenges and strengthen relationships.
Requirements
- 8+ years of deep, hands-on technical experience and an eagerness to work closely with customers.
- Track record of personally leading complex, production-scale AI/ML systems from discovery through production deployment and measurable business impact.
- Passion for being on the forefront of 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.
- Comfortable 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.
- Ability to operate with high horsepower, handle frequent context switching, and work on multiple projects with expansive ownership.
- Ability to ruthlessly prioritize.
- Ability to thrive in dynamic environments and navigate ambiguity with ease.
Benefits
- Relocation assistance to new employees.