AI Engineer

About Job

Job Description

Job Title: AI 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.

Powering Model Labs & Enterprise AI | Centific

Job Summary:

We are looking for a passionate and skilled AI 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 APIs to serve models.
• Understanding of Agentic AI frameworks like LangChain, LangGraph, AutoGen, or Crew AI.
• Strong analytical and problem-solving skills, with the ability to work effectively both independently and in a team environment.
• Excellent communication skills to convey technical concepts to diverse audiences.

What would help you stand out:

• PhD in Computer Science or equivalent combination of education, training, and experience
• Industry experience in Artificial Intelligence projects
• Track record of publishing scientific papers in top conferences and journals
• Strong communication skills (written and verbal), motivation for international collaboration
• Experience with ML optimization including distributed training, low-rank adaptation
• Experience with cloud platforms (AWS, Azure, GCP)
• Knowledge of containerization using Docker and orchestration with Kubernetes.
• Familiarity with other domains such as deep learning, computer vision or reinforcement learning.

Why join us:

• Innovative environment: work at the forefront of AI technology and innovation.
• Global impact: join a team that’s making a real difference across industries and around the world.
• Diverse community: be part of an inclusive workplace that values different perspectives and backgrounds.
• Flexible benefits: comprehensive healthcare, dental & vision, 401k plan, PTO, and more.

Salary: $165k

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.