AI Software Engineer (Remote)

Vortenza is a technology platform that builds and curates AI tools, productivity resources, calculators, and practical business solutions for modern professionals. The AI Software Engineer will design, develop, and maintain AI-driven applications, implement machine learning and NLP solutions, integrate AI capabilities into production systems, and improve products through experimentation and data-driven iteration.

Responsibilities:

• Design, develop, and maintain AI-driven applications and tools that support Vortenza’s platform and user base
• Collaborating with product, content, and engineering teams to translate business requirements into robust AI solutions
• Implementing machine learning and deep learning models
• Building and optimizing NLP pipelines
• Integrating AI capabilities into production systems
• Improving existing tools through experimentation and data-driven iteration
• Write clean, scalable code
• Perform code reviews
• Ensure model performance and reliability
• Contribute to architecture and technical decisions
• Staying current with AI research
• Evaluating new frameworks
• Recommending approaches that enhance Vortenza’s productivity and business workflow products

Requirements:

• Strong foundation in Computer Science and Software Development , including data structures, algorithms, and modern software engineering practices
• Hands-on experience with Neural Networks and Pattern Recognition for building and deploying machine learning or deep learning models
• Practical expertise in Natural Language Processing (NLP) , such as text classification, embeddings, conversational systems, or language understanding
• Proficiency in programming languages commonly used in AI (e.g., Python) and frameworks such as TensorFlow, PyTorch, or similar libraries
• Experience deploying AI systems to production (e.g., REST APIs, microservices, cloud platforms) with attention to performance, scalability, and security
• Ability to work collaboratively in an on-site environment, communicate complex technical ideas clearly, and align solutions with product and business goals
• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience
• Familiarity with productivity tools, workflow automation, or SEO/digital growth solutions is a plus