AI Engineer

The AI Engineer position at Showpad entails designing, developing, and maintaining robust AI models to address complex business challenges. You’re expected to collaborate closely with cross-functional teams to implement scalable solutions while ensuring the performance and reliability of the AI systems. Additionally, keeping up with the latest trends and engaging in prompt engineering are key aspects of this role.

To be considered for the AI Engineer role at Showpad, you should ideally possess an educational background in Computer Science, Machine Learning, AI, or a related field. Experience in developing and implementing AI models is essential, along with proficiency in Python and hands-on experience with LLMs and cloud platforms like AWS. Critical thinking, problem-solving skills, and excellent communication abilities are also important.

As an AI Engineer at Showpad, you will work with state-of-the-art technologies, including LLM models such as LLama 3/3.1 and Claude models, along with cloud solutions like AWS Bedrock and AWS Sagemaker. Familiarity with programming languages such as Python, Typescript, and Kotlin will also be beneficial in this role.

Showpad is deeply committed to fostering professional growth among its employees. This includes opportunities for personal development, participation in professional stretch assignments, and a vibrant culture that encourages people to be their authentic selves. Programs such as paid parental leave and volunteer opportunities demonstrate our dedication to supporting employees holistically.

At Showpad, the culture is built on flexibility, trust, and a genuine emphasis on inclusion. Expect an environment where your voice is valued and celebrated. With a focus on innovation and a collaborative spirit, Showpad strives to create a workplace where everyone can thrive, enjoy their work, and contribute to meaningful projects.

In answering this question, focus on specific projects where you've developed or implemented AI models. Provide examples that showcase your hands-on experience, the algorithms you employed, and the results achieved. Highlight your familiarity with current trends and techniques in AI.

Share your strategies for keeping up with AI advancements, such as following industry publications, attending conferences, or participating in online courses. Highlight any particular websites, journals, or thought leaders you follow to demonstrate your commitment to continuous learning in this rapidly advancing field.

Discuss your proficiency in Python, Typescript, and Kotlin, emphasizing how you've applied these languages in developing AI applications. If possible, share specific examples of projects that demonstrate your skills in these programming languages.

When responding to this question, clearly detail the challenges faced during the project, the strategies you employed to overcome them, and the impact your solutions had on the project’s results. Highlight your problem-solving abilities and technical acumen throughout.

Describe your experience working with AWS services like Bedrock, Sagemaker, or OpenSearch. Highlight specific projects where you utilized these tools to build or deploy AI solutions, and discuss the advantages you found while using cloud computing for AI.

Share insights into your process for crafting effective prompts. Discuss the importance of iteration and simplicity, along with how you measure the effectiveness of prompts in generating accurate outputs from AI systems.

Discuss the techniques you employ to evaluate and enhance AI reliability, such as thorough testing, monitoring system performance, and implementing feedback loops. Highlight the importance of maintaining high standards in AI outputs.

Illustrate your collaboration skills with specific examples of how you have worked efficiently with product, design, or other tech teams. Emphasize communication strategies and how you work toward common goals to achieve successful project outcomes.

Share your genuine passion for AI and machine learning, discussing how you see it transforming industries and driving innovation. Convey your excitement about the potential for creative problem-solving and the impact of AI on businesses and society.

Provide examples of any workflows, models, or applications that you’ve developed using generative AI. Highlight the unique challenges encountered in generative projects and the innovative solutions you provided.