Software Engineer

Company : Disability Solutions

Location : Dublin, CA

Posted Date : 28 October 2025

Job Type : Other

Category : Software Development

Occupation : Software Engineer

Job Details

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.

You got what it takes if...

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.