Full Stack AI Engineer

🤓As a Full Stack AI Engineer, the company expects you to perform the following tasks:

• Prototyping, building and launching AI experiences for large retailers and enterprises.
• Partnering with PM, sales and clients to define and refine customer requirements.
• Partnering with engineering teams in San Francisco to leverage the latest capabilities of the AI platform as well as contributing to the platform where needed. Providing critical feedback to the platform team to provide support necessary to build great AI solutions. 
• Establishing and implementing AI business metrics, analyzing data and iterating to progressively and relentlessly improve business performance.
• Planing your work, negotiating on dates, and offering creative solutions and practical tradeoffs to compromise between client deadlines and feature completeness.

✨You are the person they are looking for if you have:

• Being located in Brazil and speaking Portuguese is a must
• BS or MS in Computer Science or related field.
• 5+ years of technology industry experience in a hands-on engineering role.
• 2+ years of experience building and launching AI products.
• Experience working in high paced, customer focused environment. 
• Experience building both backend and frontend solutions using Python and Typescript.
• Experience building agentic systems, understanding of the recent frameworks is a strong plus.

💜They will be more enthusiastic about you if you also have:

• Strong communication skills both client-facing and engineering-facing.
• Attention to detail and passion for excellence in customer experience.
• Strong attitude and drive for results. You should feel comfortable dealing with ambiguity and challenges of each project. 
• Curiosity and willingness to learn are going to be fundamental to success in the rapidly evolving AI space.
• Being detail oriented while also understanding the overall technical strategy will be required.
• Being equally comfortable with product strategy and implementation details.
• Hands-on experience with prompting, defining agent success metrics and staying current with the latest advancements in LLMs.