LLM Research Engineer (Remote) |
| Job Order ID: | 8043 |
| Employment Type: | Yearly Salary |
| Web Publication Date: | 11/27/2024 |
| Number of Positions: | 1 |
| Job Location: | Ottawa |
Brief Description:
Our employer is a fast-growing cybersecurity company looking for an individual who is innovative and experienced to drive their 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. |
Job Function:
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
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Job Requirement:
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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