Applied LLM Research Engineer - job 1 of 2

The Applied LLM Research Engineer at Semperis is responsible for leading research initiatives on state-of-the-art language models, evaluating different LLM providers, and analyzing the trade-offs between hosted APIs versus self-hosted models. This role also involves implementing secure API integration patterns, developing proof-of-concept applications, and optimizing model deployment for enterprise requirements, all while ensuring compliance with security standards.

To qualify for the Applied LLM Research Engineer position at Semperis, candidates should have a bachelor's degree in Computer Science or a related field, though a master’s degree is preferred. Additionally, 3+ years of software development experience is essential. Candidates should be proficient in Python, have a solid understanding of LLM architectures, and be experienced with technologies like Kubernetes and major cloud platforms, along with a good grasp of AI security practices.

The Applied LLM Research Engineer at Semperis needs strong proficiency in Python, a good understanding of LLM and AI technologies, and experience with LLM APIs like OpenAI. Familiarity with container orchestration tools (like Kubernetes), cloud platforms (AWS, Azure, GCP), and solid Linux administration skills are also necessary, alongside knowledge of API security best practices.

In the role of Applied LLM Research Engineer, you'll drive innovation in enterprise identity security at Semperis. By researching and implementing advanced language models, you'll help build secure solutions that protect sensitive information and enhance organizational security. Your contributions will not only impact Semperis but also help set industry standards for how enterprises leverage AI responsibly.

The working environment for an Applied LLM Research Engineer at Semperis is collaborative and supportive, designed to encourage creativity and innovation. You’ll work with top talent in cybersecurity and identity management, participate in architecture design sessions, and have ample opportunities for professional growth and learning. Semperis values a positive workplace culture that aligns with our mission of being a Force for Good.

In answering this question, focus on specific language models you have worked with, such as GPT-3 or LLaMA, and describe projects or applications where you implemented these technologies. Highlight challenges you faced, your problem-solving approaches, and the outcomes of your work. This will demonstrate your hands-on experience and relevance to the position at Semperis.

To answer this, outline the benefits and drawbacks of each option. Discuss considerations such as security, scalability, cost, and ease of implementation. Providing a structured comparison can show your analytical skills and understanding of enterprise needs, particularly in the context of identity security at Semperis.

It's important to highlight your commitment to continuous learning. Mention resources like academic journals, industry blogs, conferences, and online forums. Discuss how you apply new knowledge to your projects and how this approach aligns with the innovative spirit at Semperis.

Emphasize the importance of data privacy, compliance with regulations, and the need for robust API security practices. Discuss how you would approach risk assessments and highlight your understanding of identity and access management systems to ensure secure implementations at Semperis.

In your response, provide a concise overview of the project, your specific role, and the technologies you utilized. Include details about the challenges faced, contributions made to the team, and how it affected the larger goals of the organization, showcasing your leadership capabilities relevant to the Applied LLM Research Engineer position.

Discuss your mentoring philosophy, focusing on encouraging curiosity and collaboration. Provide examples of how you’ve successfully helped others grasp complex concepts, perhaps by creating documentation or hosting knowledge-sharing sessions, mirroring the collaborative culture at Semperis.

Be prepared to talk about techniques such as using container orchestration platforms, setting clear evaluation metrics, and applying CI/CD practices. Discuss how these methods ensure performance stability and compliance with enterprise standards, essential for your role at Semperis.

Provide a specific example while applying the STAR method (Situation, Task, Action, Result). This structure helps illustrate your problem-solving and critical-thinking skills. Tie back your experience to potential scenarios you may encounter as an Applied LLM Research Engineer at Semperis.

Highlight your communication skills and adaptability when discussing technical matters. Explain how you simplify information and use analogies or visual aids, ensuring that clients and team members understand the implications of your work in a way that resonates with their needs.

This is your opportunity to convey your passion and alignment with Semperis's mission. Share what specifically excites you about the role, the company culture, and how your goals align with the innovative work being done in identity security at Semperis.