LLM Research Engineer

November 27

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Active Directory • Disaster Recovery • Identity and Access Management • AD forest recovery • Cybersecurity

201 - 500 employees

🔒 Cybersecurity

🏢 Enterprise

☁️ SaaS

Description

• 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 • 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 • 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

Requirements

• 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