LLM Engineer

About the role

As an LLM Engineer at SecuryxAI you will go deep on the model infrastructure layer — fine-tuning, prompt optimization, context window management, and building the evaluation pipelines that ensure our AI outputs are accurate, safe, and auditable in a compliance context.

What you’ll do

• Own the prompt engineering and optimization pipeline for all production AI features
• Design context management strategies for long-document compliance analysis
• Build fine-tuning and RLHF pipelines for compliance-domain specialization
• Implement comprehensive evals measuring answer accuracy against ground-truth controls
• Maintain model versioning, A/B testing infrastructure, and rollback capabilities
• Research and evaluate new frontier models for integration into the platform

What you’ll bring

• 3+ years of ML or LLM engineering experience with production deployments
• Deep understanding of transformer architectures and prompt engineering techniques
• Experience with fine-tuning workflows (LoRA, RLHF, DPO)
• Strong statistical thinking for designing and interpreting model evals

Nice to have

• Background in information retrieval, NLP, or knowledge graph systems
• Experience with compliance, legal, or regulatory text classification
• Familiarity with safety and alignment techniques relevant to enterprise AI

What we offer

• Competitive equity + salary benchmarked to top-25% of market
• 100% remote-first (async-first culture)
• Unlimited PTO + company holidays
• Health, dental, vision insurance (US employees)
• $2,000/year learning & development budget
• Home office stipend ($500 setup + $100/month)
• Annual team offsite

Apply for this role

Fill out the form below. After submitting, please email your resume to careers@securyxai.com with your application ID (shown after submission).