Forward Deployed Engineer - Architect
DevRev- Full Time
- Junior (1 to 2 years)
Candidates should have 4+ years of experience in software or customer engineering roles with a strong emphasis on customer-facing engagements. Proficiency in front-end development using frameworks like React or Next.js and back-end development skills in Python, Node.js, or similar is required. Familiarity with deploying applications on cloud platforms such as AWS, GCP, or Azure is essential, along with a track record of leading complex implementations of Generative AI or traditional ML solutions and knowledge of network/cloud architecture. Effective communication skills to translate complex technical concepts to both technical and non-technical audiences are necessary, and candidates must be willing to travel up to 50%.
The Forward Deployed Engineer will embed deeply with strategic customers to understand their business challenges and technical requirements. They will design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. Preparing detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments is essential. The engineer will work hands-on with customers' technical teams as a trusted advisor, coding side-by-side to drive projects to completion. They will collaborate closely with Sales, Technical Success, and Applied teams to ensure seamless customer experiences and project success, while also contributing to internal knowledge bases by codifying best practices and sharing insights gained from customer engagements.
Develops safe and beneficial AI technologies
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.