[Hiring] AI Engineer @Centific

Role Description

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.

Benefits

• 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

Company Description

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.