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
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