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.
Job Title
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.
Job Summary
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.
Key Responsibilities
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
Required Qualifications
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, DeepSpeed 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
Preferred Qualifications
Publications in leading AI and Machine Learning conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, or CVPR
Experience with multimodal AI, vision-language models (VLMs), speech models, or foundation models
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, knowledge graphs, and AI agent frameworks such as LangChain, LlamaIndex, or LangGraph
Experience with synthetic data generation, Responsible AI, AI governance, fairness, and model safety
Contributions to open-source LLM training frameworks, AI research, patents, or technical publications
Experience deploying AI applications using Kubernetes, Docker, Ray, and enterprise MLOps platforms
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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Work arrangement
Yes