NLP AI Engineer

📋 Description

• Design, fine-tune, optimize, and deploy large language models using SFT, LoRA, QLoRA, RLHF, DPO
• Architect scalable distributed training pipelines using modern deep learning frameworks and GPU
• Develop high-quality datasets, synthetic data generation pipelines, and evaluation frameworks to
• Optimize large-scale GPU training, inference performance, experiment tracking, and model-serving
• Design and implement Retrieval-Augmented Generation pipelines, embedding models, vector search
• Develop automated benchmarking, safety testing, hallucination detection, and Responsible AI

🎯 Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language
• 10+ years of professional experience in Artificial Intelligence, Machine Learning, NLP, or LLM
• Expert-level Python programming skills with extensive experience using PyTorch and
• Proven experience fine-tuning and deploying large language models in production environments.
• Strong expertise in distributed training technologies such as FSDP, DeepSpeed ZeRO, pipeline
• Hands-on experience with RLHF, DPO, PPO, or other preference optimization techniques.

🎁 Benefits

• Competitive annual salary of $130,000–$180,000, based on experience.
• 100% remote work within the United States.
• Full-time, direct W2 employment.
• Opportunity to work on enterprise-scale AI, NLP, and LLM initiatives.
• Exposure to advanced technologies including distributed training, generative AI, RAG, and agentic
• Opportunities for technical leadership, architecture ownership, and mentoring.