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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 

  • Demonstrated experience with machine learning or NLP projects 

Technical Skills 

  • Programming Languages  

  • Strong proficiency in Python 

  • Working knowledge of C# and PowerShell 

  • Experience with data science frameworks (PyTorch, TensorFlow, or similar) 

  • 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 LLM Research Engineer, Semperis

Are you an innovative thinker with a passion for cutting-edge technology? Semperis is searching for a talented LLM Research Engineer to join our dynamic team in Addison, where we focus on creating an engaging employee experience aligned with our vision of being a Force for Good. Recognized as one of America’s Fastest-Growing Cybersecurity Companies, we pride ourselves on fostering a workplace that encourages growth and collaboration. In this role, you'll have the exciting opportunity to explore and implement state-of-the-art language models in enterprise identity security. You’ll bridge the gap between academic insights and practical applications, ensuring our solutions are not just innovative but also secure and scalable. You'll conduct research on advanced models like GPT-4 and Sonnet, while also examining the benefits of hosted versus self-hosted deployments. With responsibilities that include developing proof-of-concept applications and optimizing model deployment, you’ll be at the forefront of advancing our technologies. You'll also lead discussions on technical strategies and mentor fellow team members. If you have a deep understanding of LLM architectures, experience in machine learning, and a flair for problem-solving, then we would love for you to join our collaborative team at Semperis and contribute to our mission in cybersecurity.

Frequently Asked Questions (FAQs) for LLM Research Engineer Role at Semperis
What qualifications do I need to apply for the LLM Research Engineer position at Semperis?

To apply for the LLM Research Engineer position at Semperis, you should ideally hold a Bachelor's degree in Computer Science, Engineering, or a related field, with a Master's degree preferred. You'll need at least 3 years of software development experience, along with demonstrated expertise in machine learning or NLP projects.

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What is the main focus of the LLM Research Engineer role at Semperis?

The primary focus of the LLM Research Engineer role at Semperis is to drive exploration and implementation of advanced language models within the realm of enterprise identity security, bridging the gap between cutting-edge AI research and practical applications.

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What programming languages should I be proficient in for the LLM Research Engineer job at Semperis?

For the LLM Research Engineer position at Semperis, strong proficiency in Python is a must. Additionally, a working knowledge of C# and PowerShell will be beneficial, especially for integration tasks and leveraging existing systems.

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What technologies and tools will I work with as an LLM Research Engineer at Semperis?

As an LLM Research Engineer at Semperis, you'll work with modern LLM frameworks and data science frameworks such as PyTorch or TensorFlow, and you'll utilize cloud platforms like AWS, Azure, and GCP. Familiarity with container orchestration platforms like Kubernetes will also be essential.

Join Rise to see the full answer
What type of projects will I work on as an LLM Research Engineer at Semperis?

In your role as an LLM Research Engineer at Semperis, you will develop proof-of-concept applications, engage in architecture design sessions, and mentor peers on LLM technologies. You'll also research security implications of model integration into enterprise environments.

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How does Semperis support employee growth for LLM Research Engineers?

Semperis fosters a growth-oriented environment for LLM Research Engineers through mentorship opportunities, participation in innovation workshops, and initiatives aimed at keeping our team members updated with the latest advancements in the rapidly evolving LLM landscape.

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What is the work environment like for LLM Research Engineers at Semperis?

At Semperis, the work environment is collaborative and inclusive, with a strong focus on valuing each team member's contributions. LLM Research Engineers work alongside a diverse team of global talent, creating innovative solutions in cybersecurity while enjoying a supportive workplace culture.

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Common Interview Questions for LLM Research Engineer
Can you explain your experience with large language models and their potential applications in security?

When answering this question, showcase specific projects or experiences involving large language models. Emphasize how these models can enhance security protocols, improve data interpretation, or automate certain security processes, while also discussing any related challenges faced.

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How do you evaluate and choose between hosted APIs and self-hosted LLM models?

Discuss your evaluation criteria, which might include cost, security, scalability, and performance benchmarks. Highlight specific scenarios where you chose one over the other based on the project's requirements.

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What techniques do you use for prompt engineering with LLMs?

Explain your approach to prompt engineering, mentioning any successful techniques you've applied. Discuss how you optimize prompts to receive relevant outputs from LLMs while ensuring they align with intended security measures.

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Describe a project where you implemented an LLM solution. What were the main challenges?

Provide a detailed account of a specific project, focusing on your role and the outcomes. Discuss the challenges you encountered—like integration issues or user acceptance—and how you overcame them.

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What security considerations should be taken into account when integrating LLMs into enterprise systems?

Outline the key security considerations, such as data privacy, compliance with regulations, and the integrity of model outputs. Discuss how you apply security best practices when bringing LLMs into an enterprise environment.

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How do you stay updated with the rapidly changing landscape of LLM technologies?

Share the channels through which you stay informed, such as academic papers, conferences, industry news, and online courses. Highlight your commitment to continuous learning in this fast-evolving field.

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What programming languages are you most comfortable using in your projects?

Discuss your proficiency in the programming languages required for the role, notably Python. Mention any experience you have with C# or PowerShell, and how you've used these languages in previous projects.

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Can you discuss a time you had to mentor or lead a team on an LLM project?

Give an example of a mentorship experience, emphasizing your leadership style and how you facilitated knowledge sharing and problem-solving among team members while working on an LLM project.

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What are the best practices for deploying LLMs in enterprise environments?

Discuss deployment strategies that ensure security, scalability, and compliance. Show your understanding of container orchestration and cloud-based environments, emphasizing how you integrate these practices into your deployment processes.

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How do you measure the performance and accuracy of LLM applications?

Explain the metrics and methods you use to assess the performance of LLM applications. Discuss the importance of monitoring systems and evaluation metrics in ensuring that the models meet quality standards and adapt over time.

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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
November 27, 2024

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