NLP AI Engineer

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

Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $130,000–$180,000 Annually (based on experience)
Experience

Required:


10+ Years

Sponsorship: 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 Py Torch 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,…