Janvi Kalra, currently an AI Engineer at OpenAI, shares her journey from software engineering to AI engineering on The Pragmatic Engineer podcast.
She discusses breaking into tech with internships at top companies, transitioning to AI engineering, and landing roles at Coda and OpenAI.
Key points include self-learning AI skills through projects and hackathons, evaluating AI startups before joining, and the importance of product mindset for AI Engineers.
Janvi highlights the blurring of traditional roles at OpenAI and the necessity for engineers to adapt to changing model capabilities.
She also compares the advantages of working at big tech companies versus startups, emphasizing the learning opportunities and impact potential in both environments.
Interview insights cover the AI engineering job market, preparation strategies, and due diligence when choosing a startup.
The conversation delves into Janvi's role at OpenAI, the company's approach to responsible AI, and the fast-paced environment marrying startup agility with big tech scale.
Janvi's experiences offer valuable lessons for aspiring AI Engineers on mastering technical skills, navigating job interviews, and aligning career choices with personal growth.
Overall, the episode provides a comprehensive overview of the evolving landscape in AI engineering and the versatile skill set required for success in this dynamic field.
Listeners gain insights into the mindset and strategies that propelled Janvi Kalra's successful transition and progression within the AI engineering domain.
The discussion sheds light on critical considerations for individuals aspiring to enter or advance in the AI industry, from skill development to career decision-making.