Full-Stack Software Engineer, Incubation
WFA Digital Insight
The demand for skilled software engineers in the AI space has surged, with a 25% increase in job postings over the past year. OpenAI, a pioneer in AI research and deployment, is seeking a talented Full-Stack Software Engineer to join their Incubation team. With a focus on innovation and rapid iteration, this role offers a unique opportunity to work on cutting-edge projects and collaborate with a team of experts. Candidates should be prepared to showcase their technical skills, creativity, and ability to thrive in a fast-paced environment. As the AI industry continues to grow, professionals with expertise in AI and software development are in high demand, with salaries ranging from
Job Description
About the Role
As a Full-Stack Software Engineer on the Incubation team at OpenAI, you will be responsible for imagining, prototyping, and building entirely new product experiences within the OpenAI ecosystem. This team operates with a startup-like mindset, moving quickly from idea to experiment to iteration, and exploring multiple directions in parallel. You will work across the stack, building frontend and backend systems, developing rapid prototypes, and collaborating closely with designers, researchers, and product partners to bring early-stage ideas to life.The Incubation team is a 0→1 innovation group, identifying opportunities, rapidly testing concepts, and building the foundations for future OpenAI products. As a key member of this team, you will help shape the direction of new product experiences and contribute to the development of production systems on top of the high-scale internal platforms that power ChatGPT and the OpenAI API.
What You Will Do
- Prototype and iterate quickly on new product ideas, exploring how AI can unlock novel user experiences and workflows
- Turn early concepts into functional demos and ship code early and often, using real-world feedback to guide iteration
- Validate ideas through experimentation and help scale the strongest concepts from prototype to production
- Work across the full stack to build products from initial exploration through launch readiness
- Collaborate closely with research, product, design, data science, and engineering partners to drive meaningful impact
- Learn from and contribute alongside deeply experienced engineers while fostering a high-trust, inclusive, and candid team culture
- Develop production systems on top of the high-scale internal platforms that power ChatGPT and the OpenAI API
- Design new architectures when existing systems aren’t sufficient
- Participate in code reviews and ensure the highest quality of code
What We Are Looking For
- 3+ years of professional software engineering experience
- Experience building and shipping full-stack apps end-to-end — from prototype to traction — in fast-moving, startup-like environments
- Strong programming skills in multiple languages and frameworks
- Ability to take a one-sentence idea and turn it into a working product
- Experience with rapid prototyping and iteration
- Strong collaboration and communication skills
- Ability to work in a high-ambiguity environment and translate broad ideas into shipped products
- Fluency across multiple programming languages and frameworks
- Experience with Agile development methodologies
Nice to Have
- Experience working with AI and machine learning technologies
- Knowledge of cloud-based platforms and infrastructure
- Experience with containerization and orchestration tools
- Familiarity with DevOps practices and tools
Benefits and Perks
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- Flexible PTO and vacation policy
- Remote work stipend and support for home office setup
- Access to cutting-edge technologies and tools
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
How to Stand Out
- Tip: Showcase your ability to work in a fast-paced environment and adapt to changing priorities by highlighting relevant experience in your resume and cover letter.
- When preparing for the interview, focus on demonstrating your technical skills, problem-solving abilities, and experience with rapid prototyping and iteration.
- To stand out, be prepared to discuss your experience with AI and machine learning technologies, as well as your ability to collaborate with cross-functional teams.
- Ensure your online presence, including your LinkedIn profile and personal website or blog, is up-to-date and showcases your skills and experience.
- During salary negotiations, consider factors such as the company's budget, industry standards, and your own financial goals, and be prepared to discuss your expectations clearly and confidently.
- Be aware of red flags such as unrealistic expectations, lack of transparency, or unclear communication, and don't hesitate to ask questions during the interview process.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.