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Applied LLM Research Engineer

Semperis focuses on creating an employee experience that is aligned with our vision—being a Force for Good— starting with being a good workplace. Semperis is recognized as one of America’s Fastest-Growing Cybersecurity Companies on the Inc. 5000 List, a DUNS 100 top Start Up to work for and Inc. Best Workplace for multiple years.  With teams around the world, you’ll be working alongside top global talent in Cybersecurity and Identity Access Management. 

If you are a purpose-driven person who always sees the glass as half full, seizes opportunities, and has an urge to learn and develop your skills—we’d love to meet you. 

Position Overview 

We are seeking an innovative and experienced LLM Research Engineer to drive our exploration and implementation of cutting-edge language models in enterprise identity security. The ideal candidate will bridge the gap between academic AI research and practical enterprise applications, with a focus on security and scalability. 

Primary Responsibilities 

Research & Innovation 

  • Lead research initiatives on state-of-the-art Language Models (GPT-4, Sonnet, LLaMA, etc.) 

  • Evaluate and benchmark different LLM providers, APIs, and deployment options 

  • Analyze trade-offs between hosted APIs vs. self-hosted models 

  • Research security implications and best practices for LLM integration in enterprise environments 

  • Stay current with the rapidly evolving LLM landscape and emerging capabilities 

Technical Implementation 

  • Develop proof-of-concept applications and MVPs using modern LLM frameworks 

  • Design and implement secure API integration patterns 

  • Create scalable solutions using container orchestration platforms 

  • Optimize model deployment and inference for enterprise-scale requirements 

  • Implement proper evaluation metrics and monitoring systems 

Leadership & Collaboration 

  • Drive technical decision-making for LLM integration strategies 

  • Participate in architecture design sessions and innovation workshops 

  • Mentor team members on LLM technologies and best practices 

  • Collaborate with security teams to ensure compliance with enterprise standards 

  • Document findings, methodologies, and technical specifications 

Required Qualifications 

Education & Experience 

  • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred) 

  • 3+ years of software development experience 

  • Strong proficiency in Python 

  • LLM & AI  

  • Understanding of modern LLM architectures and capabilities 

  • Experience with LLM APIs (OpenAI, Anthropic, or similar) 

  • Familiarity with prompt engineering and LLM optimization techniques 

  • Knowledge of AI security considerations and best practices 

  • Infrastructure & Tools  

  • Strong experience with container orchestration (Kubernetes) 

  • Proficiency with major cloud platforms (AWS, Azure, GCP) 

  • Solid Linux system administration skills 

  • Experience with CI/CD pipelines and DevOps practices 

Security Knowledge 

  • Understanding of enterprise security frameworks and compliance requirements 

  • Experience with identity and access management systems 

  • Knowledge of API security best practices 

  • Familiarity with data privacy regulations and implications for AI systems 

Soft Skills 

  • Strong analytical and problem-solving abilities 

  • Excellent written and verbal communication skills 

  • Ability to explain complex technical concepts to various audiences 

  • Self-motivated with strong project management capabilities 

  • Collaborative mindset with excellent teamwork skills 

 

#LI-HA1

#LI-Remote

Semperis is an equal opportunity employer and will not discriminate against an applicant or employee based on race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, veteran or military status, genetic information, citizenship, marital status, or any other legally recognized protected basis under federal, state, or local law. The information collected by the Semperis application is solely to determine suitability for employment, verify identity, and maintain employment statistics. 

 Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and/or other applicable state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Semperis. Please inform Semperis representative Anna Taylor, Director of Global Recruiting, if you need assistance completing this application or to otherwise participate in the application process. 

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What You Should Know About Applied LLM Research Engineer, Semperis

If you're passionate about innovative technology and cybersecurity, Semperis is the place for you! We're on the lookout for an Applied LLM Research Engineer to join our dynamic team in Addison. Here at Semperis, we're not just another cybersecurity company; we're recognized as one of America’s Fastest-Growing Cybersecurity Companies and a Best Workplace for multiple years. This is your chance to work with top global talent as you dive into cutting-edge language models and explore their applications in enterprise identity security. In this role, you'll be leading research initiatives on state-of-the-art Language Models like GPT-4 and LLaMA, evaluating different LLM providers, and understanding their security implications. You'll get your hands dirty developing proof-of-concept applications while designing secure API integrations and scalable solutions using container orchestration. You'll even mentor team members, participate in architecture design sessions, and help us stay compliant with enterprise standards. This is more than just a job; it’s an opportunity to bridge academic AI research with real-world applications that drive security and scalability. If you have a Bachelor's degree, at least 3 years of software development experience, and proficiency in Python, we want to hear from you! Join us in making a difference in the cybersecurity landscape.

Frequently Asked Questions (FAQs) for Applied LLM Research Engineer Role at Semperis
What are the responsibilities of an Applied LLM Research Engineer at Semperis?

As an Applied LLM Research Engineer at Semperis, you will lead innovative research initiatives, evaluate various LLM providers and their APIs, and implement secure integration patterns. You'll also develop proof-of-concept applications while staying up-to-date with the latest in language model capabilities, ultimately helping bridge the gap between academic research and enterprise applications.

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What qualifications are needed to become an Applied LLM Research Engineer with Semperis?

To qualify for the Applied LLM Research Engineer position at Semperis, candidates should hold at least a Bachelor's degree in Computer Science or a related field, although a Master’s degree is preferred. Additionally, a minimum of 3 years of software development experience, strong programming skills in Python, and familiarity with LLM technologies and APIs are essential.

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What experience is important for an Applied LLM Research Engineer at Semperis?

In the role of Applied LLM Research Engineer at Semperis, experience with modern LLM architectures, cloud platforms like AWS or Azure, and container orchestration like Kubernetes is crucial. Familiarity with AI security considerations and best practices will also be highly beneficial in effectively contributing to the team.

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How does Semperis support the professional development of an Applied LLM Research Engineer?

At Semperis, we believe in nurturing our talent. As an Applied LLM Research Engineer, you'll have opportunities to participate in architecture design sessions and innovation workshops, receive mentorship, and engage in continuous learning to enhance your skills in LLM technologies and best practices.

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What kind of projects can an Applied LLM Research Engineer expect to work on at Semperis?

In the Applied LLM Research Engineer role at Semperis, you can expect to work on revolutionary identity security challenges. Your projects may include developing scalable proof-of-concept applications, conducting trade-offs analysis between hosted APIs and self-hosted models, and researching effective security implications of LLMs in enterprise environments.

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Common Interview Questions for Applied LLM Research Engineer
Can you describe your experience with LLM technologies?

Talk about your hands-on experience with LLMs, mentioning specific models you've worked with, your understanding of their architectures, and how you've applied them in past projects. Highlight any relevant challenges you faced and how you overcame them.

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What strategies do you use to evaluate and select LLM providers?

Discuss your approach to evaluating LLM providers based on criteria such as API capabilities, performance benchmarks, security features, and cost. Cite past examples where your evaluations led to significant improvements or project success.

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How do you ensure the security of AI systems you work on?

Explain your knowledge of security frameworks and best practices, detailing any experience with security audits, compliance assessments, and specific protocols you implement to safeguard AI systems within enterprise environments.

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What is your methodology for developing proof-of-concept applications?

Outline your typical process for developing proof-of-concept applications, from ideation to deployment, including your use of modern LLM frameworks, tools, and how you incorporate feedback from stakeholders.

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How do you stay updated with the latest advancements in AI and LLMs?

Share your strategies for keeping abreast of trends in AI and the LLM landscape, such as following leading journals, attending conferences, participating in workshops, and networking with peers in the industry.

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Can you give an example of a project where you integrated LLM into an existing system?

Detail a specific instance where you've successfully integrated an LLM into an existing system. Focus on the challenges faced, the integration process, and the positive outcomes achieved, such as increased efficiency or enhanced security.

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What are your thoughts on the trade-offs between self-hosted and API-based LLM solutions?

Discuss the key factors influencing your decisions between self-hosted and API solutions, such as scalability, latency, cost, and security, while providing examples from your experience to illustrate your points.

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How do you approach mentoring junior team members on AI technologies?

Explain your mentoring style and how you facilitate knowledge sharing, hands-on learning, and support to help junior team members grow their proficiency in AI technologies.

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What strategies do you employ to optimize model deployment and inference?

Discuss techniques you use for ensuring efficient deployment and inference of models, such as tuning models for performance, using container orchestration tools, or setting up comprehensive monitoring systems.

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How do you handle project deadlines and prioritize tasks?

Share your project management approach, including how you utilize tools and methodologies to prioritize tasks, manage time effectively, and ensure that deadlines are met without compromising on quality.

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Semperis puts people first. From our customers and partners to our culture of engineers and experts, we understand that people are our assets. Our talented employees, contribute to the Semperis culture that champions strategic vision, innovation,...

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Full-time, remote
DATE POSTED
December 22, 2024

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