Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 6
ChatGPT
Data Modeling @ 6
Machine Learning @ 4
Observability
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks.
The Applied AI team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration.
Responsibilities
- Build and launch features across web interfaces, APIs, backend services, and data models.
- Create workflows for task creation, progress updates, agent feedback, and results that remain coherent across sessions and devices.
- Translate emerging model capabilities into product prototypes with research, product, and design partners.
- Design clear interfaces between product surfaces and agent execution systems.
- Improve performance and reliability across the stack, including user-facing latency and recovery from partial failures.
- Own projects from early exploration through architecture, implementation, launch, and iteration based on user feedback.
- Help establish technical direction, testing practices, and observability as the product grows.
Requirements
- Significant experience building and shipping products across frontend and backend systems.
- Ability to move comfortably between user interfaces, service design, APIs, and data modeling.
- Strong product instincts and an interest in making complex capabilities understandable to users.
- Experience taking ambiguous ideas from concept to production and making practical tradeoffs between iteration speed and long-term maintainability.
- Understanding of asynchronous workflows and ability to reason about state, consistency, and failure across system boundaries.
- Effective collaboration with design, product, research, and engineering partners.
- Experience owning complex engineering projects and helping other engineers make sound technical decisions.
- Experience launching new consumer products, building agent or workflow applications, or working in small teams with broad engineering ownership is especially relevant.
- Prior experience with AI or machine learning is helpful but not required.
Benefits
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, paid company holidays, office closures, and paid sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Equity, performance-related bonuses for eligible employees, charitable donation matching, and wellness stipends may also be provided.
OpenAI is an equal opportunity employer and is committed to providing reasonable accommodations to applicants with disabilities. Background checks will be administered in accordance with applicable law.
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