Cornerstone is looking to develop advanced features across its product ecosystem using Conversational AI. The role aims to design, build, and optimize AI-powered conversational applications and platforms, focusing on technical innovation, scalability, and performance to enhance their AI-powered workforce agility platform.
Requirements
- 4+ years of professional experience in software engineering, with recent focus on conversational AI or NLP applications.
- Strong experience developing and deploying AI/ML models in production, particularly in conversational AI, NLP, dialogue systems, or virtual assistants.
- Hands-on experience with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch, Hugging Face), and programming languages (Python, Java, or similar).
- Solid understanding of software engineering principles: version control, continuous integration, code reviews, security.
- Commitment to responsible AI development, including data privacy and ethical standards.
- Prior experience with HR tech, SaaS, or enterprise software is a plus.
Responsibilities
- Participate in coding, testing, and deploying sophisticated conversational AI models, features, and services.
- Collaborate to design robust, scalable solutions for AI systems, including dialog management, NLP pipelines, and integrations.
- Contribute to the end-to-end development and fine-tuning of NLP models (such as intent recognition and dialogue management) using frameworks like TensorFlow, PyTorch, or Hugging Face.
- Support and maintain cloud-based applications (AWS, GCP, or Azure), enhancing model serving and efficient resource utilization.
- Develop task-oriented conversational AI agents capable of automating processes such as information retrieval, recommendations, or workflow optimization.
- Implement protocols to test and ensure responsible, ethical behavior of deployed AI agents.
- Seamlessly integrate conversational systems with APIs, user interfaces, and enterprise data sources.
Other
- Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or related field.
- Office Based, Dublin, CA Office
- Passion for Conversational AI
- Spark Greatness. Shatter Boundaries. Share Success.