NLP AI Engineer

About Company

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

NLP AI Engineer

100% Remote (U.S.)

Full-time, Direct W2

$130,000–$180,000 Annually (based on experience)

10+ Years

U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Bright Vision Technologies is seeking a highly experienced NLP AI Engineer with 10+ years of experience in Artificial Intelligence, Machine Learning, and Natural Language Processing (NLP) to design, fine-tune, optimize, and deploy enterprise-scale Large Language Models (LLMs). The ideal candidate will possess deep expertise in PyTorch, transformer architectures, distributed training, RLHF, Direct Preference Optimization (DPO), model evaluation, and MLOps, with a proven track record of building scalable, production-ready AI solutions.

This role requires strong technical leadership and collaboration across AI research, engineering, and product teams.

• Design, fine-tune, and optimize Large Language Models using techniques such as Supervised Fine-Tuning (SFT), LoRA, QLoRA, RLHF, DPO, PPO, and parameter-efficient fine-tuning (PEFT)
• Architect scalable distributed training pipelines using modern deep learning frameworks and GPU clusters
• Develop high-quality datasets, synthetic data generation pipelines, and evaluation frameworks to improve model accuracy, robustness, and reliability
• Optimize large-scale GPU training, inference performance, experiment tracking, and model serving
• Design and implement Retrieval-Augmented Generation (RAG) pipelines, embedding models, vector search, and agentic AI workflows
• Develop automated benchmarking, safety testing, hallucination detection, and Responsible AI evaluation frameworks
• Collaborate with AI researchers, software engineers, data scientists, and product teams to deliver enterprise AI applications
• Lead architecture reviews, establish best practices for LLM development, and mentor junior AI engineers
• Evaluate emerging NLP research, foundation models, and AI frameworks to drive continuous innovation
• Ensure AI solutions meet enterprise requirements for scalability, security, compliance, and operational excellence

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related technical discipline (or equivalent professional experience)
• 10+ years of professional experience in Artificial Intelligence, Machine Learning, NLP, or LLM engineering
• Expert-level programming skills in Python with extensive experience using PyTorch and transformer-based architectures
• Proven experience fine-tuning and deploying Large Language Models (LLMs) for production environments
• Strong expertise in distributed training technologies, including FSDP, Deep Speed ZeRO, pipeline parallelism, tensor parallelism, and model parallelism
• Hands‑on experience with RLHF, DPO, PPO, or other preference optimization techniques
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) for AI workloads
• Strong understanding of machine learning algorithms, deep learning, NLP, model evaluation, and MLOps practices
• Excellent analytical, communication, collaboration, and technical leadership skills

• Publications in leading AI and Machine Learning conferences such as NeurIPS, ICML, ICLR, ACL,…