AI Engineer

About Centific

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

About Job

Job Title: NLP Engineer

Location: Redmond, WA, Palo Alto, CA or Remote

Company:

About Centific–

Centific expertly engineers platforms and curates multimodal, multilingual data to empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable Artificial intelligence (AI) deployment. Our team includes over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We leverage an integrated ecosystem comprised of industry-leading partnerships, and 1.8 million vertical domain experts across 230 locales, to create high-quality pre-trained datasets, fine-tuned industry-specific Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) pipelines supported by vector databases. Our innovations can reduce Generative Artificial Intelligence (Gen AI) costs by up to 80% and bring Gen AI solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in Generative AI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by leveraging Generative AI at scale, ensuring they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

https://www.centific.com/

Job Summary:

We are looking for a passionate and skilled NLP Engineer to join our innovative team. The ideal candidate will have a deep understanding of natural language processing with specific knowledge of language models and transformer architecture. Proficiency in coding with PyTorch or TensorFlow is essential, as well as experience in developing production-ready applications using fast API or similar frameworks. Familiarity with tools like LangChain, LangGraph, or Agentic AI is a plus, as well as experience with Docker and Kubernetes for deployment. This is a fantastic opportunity to work on cutting-edge NLP / LLM projects that solve the hard problems and advance the field.

Key Responsibilities:

• Develop, fine-tune, and deploy state-of-the-art NLP models using transformer architectures for various applications.
• Implement robust and production-quality code, utilizing frameworks such as PyTorch or TensorFlow.
• Design and build RESTful APIs with either FastAPI, Flask, Django or similar technologies to support model integration and application development.
• Collaborate with product managers, data scientists, and other stakeholders to gather requirements and deliver effective NLP solutions.
• Optimize model performance and scalability in production settings while ensuring reliability and efficiency.
• Monitor, troubleshoot, and enhance existing NLP models deployed in production environments.
• Stay current on advancements in NLP and machine learning, applying best practices to ongoing projects.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
• Proven experience in developing NLP models, with a solid understanding of language modeling and transformer architectures.
• Proficiency in programming languages, particularly Python, Java or C++, with strong coding practices.
• Experience with machine learning frameworks such as PyTorch or TensorFlow for building and optimizing NLP models.
• Familiarity with web frameworks, particularly fast API, Flask, Django or similar, for creating A