AI Engineer (in person)

As an AI Engineer at SEP, your primary responsibilities include developing AI components and integrating them into software products, collaborating with clients to understand their needs, advising on costs and project impact, and mentoring team members in applying AI technologies. You'll play a crucial role in expanding our AI practice and tackling a variety of engineering challenges.

To qualify for the AI Engineer position at SEP, candidates must possess a Bachelor's Degree in Computer Science or a related field, along with a Master's Degree in an AI focus or equivalent industry experience in areas like Generative AI, Computer Vision, or Natural Language Processing. Additionally, strong communication skills are essential for discussing technical concepts with diverse audiences.

SEP actively promotes the growth of its AI Engineers through various developmental opportunities, such as mentorship programs, hands-on project experience across different market sectors, and continuous learning initiatives. This supportive environment encourages team members to expand their skill sets and stay at the forefront of AI advancements.

SEP stands out in the industry due to its employee-owned structure, flexible work schedules, and a diverse range of projects that provide real-world applications of AI. Unlike many firms that focus on theoretical work, SEP is committed to tackling practical challenges, thus enabling AI Engineers to see the direct impact of their work.

While prior experience in AI is highly valuable when applying for the AI Engineer role at SEP, candidates with a strong foundational knowledge in related fields, a keen interest in AI, and a willingness to learn can also be considered. We prioritize problem-solving skills and the ability to work collaboratively over specific previous roles.

In your response, focus on simplifying the concept using relatable analogies or examples. Highlight your communication skills and ability to tailor your message to different audiences, as this is crucial for an AI Engineer at SEP.

List specific technologies you have hands-on experience with, such as TensorFlow or PyTorch, and explain your previous projects involving these tools. Highlight your adaptability and eagerness to learn new technologies as needed.

Discuss a project that tested your skill set, detailing your role, the challenges faced, and the outcomes. Show how you handled obstacles and successfully delivered results, which reflects your problem-solving abilities.

Talk about your strategy for engaging with clients, such as actively listening to their needs, defining clear objectives, and ensuring ongoing communication throughout the project. Emphasize the importance of understanding client requirements fully.

Share your insights on how AI can transform various sectors by enhancing efficiency, enabling better decision-making, and driving innovation. You can reference examples from your experience or trends you've observed in the field.

Highlight your commitment to continuous learning through following industry news, joining professional groups, attending seminars or webinars, and participating in relevant coursework. Mention specific resources you find valuable.

Discuss your method for assessing project requirements, deadlines, and resource availability to prioritize effectively. Utilize examples from your previous work to illustrate your organizational skills.

Reflect on your understanding of AI ethics, covering aspects like bias, privacy, and the responsibilities of AI developers. Show your awareness of the broader impact of AI technologies.

Share your interests in specific areas of AI, such as healthcare solutions, autonomous vehicles, or natural language processing. Connect your passion to real-world applications to demonstrate your commitment to the field.

Illustrate your mentoring approach by describing how you would provide support tailored to the individual's learning style. Emphasize patience, hands-on practice, and encouraging questions to foster understanding.