About the job
About the Team
Join our dynamic AI Deployment Engineering team, dedicated to facilitating the secure and effective implementation of Generative AI applications for a diverse array of developers and enterprises. As trusted advisors and thought leaders, we strive to build a compelling backlog of GenAI use cases tailored to various industries, guiding our clients from concept to production with robust technical support. Our clientele ranges from innovative startups to established multinational corporations, all seeking to harness the power of AI.
About the Role
We are in search of a skilled and business-savvy AI Deployment Engineer who is passionate about pushing the boundaries of advanced AI technology with our strategic startup partners. In this role, you will collaborate with some of the most exciting AI startups globally, supporting them through ideation, development, delivery, and scaling to enhance the value of their creations on our platform. You will engage with innovative and creative use cases developed on our API, acting as a vital contributor to gathering and delivering high-quality product and model feedback internally. Close collaboration with Sales, Solutions Engineering, Applied Research, and Product teams is essential, and you will report directly to the Startups Solutions Architecture Lead.
This role offers the flexibility of remote work from Bangalore.
In this role, you will:
Collaborate closely with strategic startup partners as their technical advisor, assisting them in developing innovative applications on our API and expediting their journey from concept to scalability.
Provide proactive insights to optimize business outcomes and accelerate the development of applications.
Engage in experimental prototyping with customers, showcasing practical applications of AI.
Contribute to open-source initiatives and promote growth within the function by sharing knowledge, codifying best practices, and creating valuable resources.
Gather and relay meaningful feedback to Product and Research teams.
Cultivate relationships within the startup ecosystem, acting as a technical partner for both individual clients and the broader community.
You’ll excel in this role if you:
Possess 5+ years of experience in software engineering, machine learning engineering, or a related field, preferably within a startup setting; experience as a founder or founding engineer is highly regarded.
