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 @ 6
API @ 3
GenAI
Generative AI
JavaScript @ 5
LLM
Machine Learning
Python @ 5
- 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
The AI Deployment Engineering team ensures the safe and effective deployment of generative AI applications for developers and startups. The team acts as a trusted advisor and technical thought partner, helping customers identify GenAI use cases, develop applications, and drive them to production.
Responsibilities
- Partner with strategic startup customers as their technical thought partner to build novel applications on the OpenAI API and help them move rapidly from ideation to scale.
- Provide proactive technical guidance to maximize business impact and accelerate application development.
- Experiment and prototype alongside customers, demonstrating practical use cases.
- Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources.
- Synthesize and deliver valuable feedback to Product and Research teams.
- Build relationships within the startup ecosystem, serving as a technical partner to individual customers and the broader community.
- Drive multiple concurrent projects and prioritize effectively.
Requirements
- 5+ years of experience as a software engineer, ML engineer, or equivalent, ideally in a startup environment.
- Founder or founding engineer experience is highly valued.
- Passion for startups and belief in their potential to become future large enterprises.
- Proficiency in Python and JavaScript.
- Strong understanding of AI and large language model best practices.
- Experience building and/or delivering prototypes on an API platform.
- Ability to identify opportunities to maximize customer business value through the OpenAI API.
- Ability to own problems end-to-end and acquire missing knowledge as needed.
- Humble attitude, eagerness to help colleagues, and commitment to team success.
- Ability to operate effectively at high throughput across multiple concurrent projects.
Work Arrangement
This role is based at the San Francisco headquarters and follows a hybrid work model requiring three days in the office per week.
Benefits
- Equity, performance-related bonuses for eligible employees, and a base salary of $198,000–$280,000 per year.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax Flexible Spending Accounts, dependent care, and commuter benefits.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, company holidays, and paid sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.
OpenAI is an equal opportunity employer committed to providing reasonable accommodations to applicants with disabilities.
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