LLM Engineer Resume Bullet Points Proven Examples

Copy these proven bullet points and replace the numbers with your own metrics:

• Built production RAG pipeline using LangChain and Pinecone to ground GPT-4 responses in 500K+ company documents, reducing factual errors by 82% and customer support escalations by 34%
• Designed and implemented multi-agent orchestration system using LangGraph that automated 65% of previously manual content review workflows, saving 1,200 engineer-hours per month
• Fine-tuned Llama 3 70B on proprietary legal corpus using LoRA, achieving 94% accuracy on domain-specific QA tasks versus 71% from base model
• Reduced average inference cost per query by 41% through prompt compression, caching strategies, and model routing based on query complexity
• Built evaluation framework using PromptFoo and custom metrics, enabling automated regression testing across 3,000+ prompt variants before production deployment
• Architected streaming LLM response system serving 50,000 concurrent users with p95 latency under 800ms using async Python and Redis caching
• Led migration from GPT-3.5 to Claude Sonnet for customer support bot, achieving 23% higher satisfaction scores and 18% reduction in escalations at 30% lower cost

Start each bullet point with a strong action verb to create immediate impact:

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