Software Engineer

We're seeking a talented Software Engineer with a passion for Conversational AI to develop advanced features across Cornerstone's product ecosystem. You'll be hands-on in designing, building, and optimizing AI-powered conversational applications and platforms, focusing on technical innovation, scalability, and performance.

In this role you will:

• Software Engineering: Participate in coding, testing, and deploying sophisticated conversational AI models, features, and services.
• Architecture & System Design: Collaborate to design robust, scalable solutions for AI systems, including dialog management, NLP pipelines, and integrations.
• Conversational AI Model Development: 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.
• Cloud & Data Engineering: Support and maintain cloud-based applications (AWS, GCP, or Azure), enhancing model serving and efficient resource utilization.
• Agentic AI & Automation: Develop task-oriented conversational AI agents capable of automating processes such as information retrieval, recommendations, or workflow optimization.
• Evaluation and Safety: Implement protocols to test and ensure responsible, ethical behavior of deployed AI agents.
• Integration: Seamlessly integrate conversational systems with APIs, user interfaces, and enterprise data sources.
• Performance Optimization: Apply rigorous metrics to evaluate and optimize deployed AI systems for maximum impact and efficiency.
• Research & Innovation: Stay updated on emerging trends and techniques in conversational AI, driving innovation in product offerings.
• Code Quality & Best Practices: Champion software engineering best practices, including version control, code reviews, security, and high standards of code quality.

• Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning, or related field.
• 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.