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 

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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.