Responsibilities
- Collaborate with clients to architect, develop, and launch complete AI solutions on the company's platform
- Convert high-level client goals into defined technical requirements, prototypes, and production-ready systems
- Lead technical customer engagements from initial scoping and system design through live deployment, monitoring, and growth
- Create and sustain production software using modern programming languages, with a focus on Python
- Design resilient, observable systems that prioritize performance, scalability, reliability, and cost-effectiveness in live environments
- Diagnose and enhance AI systems across inference pipelines, model logic, APIs, and distributed computing layers
- Engage deeply with client engineering teams across all phases of AI system deployment and scaling
- Work with internal product and engineering teams to shape platform features, guide roadmap decisions, and identify reusable improvements
- Manage uncertain requirements using sound technical reasoning, balancing tradeoffs while avoiding over-engineering
- Take full ownership of technical delivery, ensuring high-quality results for both clients and internal stakeholders
Compensation
Not specified
Work Arrangement
Hybrid — New York City, San Francisco, Seattle, London
Team
Not specified
Other
- Position located in one of the company's hub cities, requiring at least two days per week in the office and periodic offsite meetings
- Comprehensive health benefits including medical, dental, and vision coverage for U.S. employees; private medical and dental insurance for U.K. employees
- Retirement planning and financial wellness programs available in the U.S.; employer pension contributions in the U.K.
- Generous paid time off and public holidays
- Paid leave for new parents
- Support for ongoing professional growth and learning
- Stipends for wellness and remote work setup
- Work environment designed for flexibility
Not specified
