Summary
✨ AI‑Generated
A full-time AI engineering role focused on developing machine learning models and intelligent software solutions. The position involves research, prototyping, optimization, and collaboration on scalable technology products.
Highlights
Opportunity to build AI solutions, experiment with emerging technologies, and influence technical architecture across diverse software projects.
Description
Company Description Pathibhara pulse, operating as PulseSoftX, is an innovative software startup focused on building cutting-edge technology solutions.
The team specializes in developing scalable SaaS platforms, cloud-based applications, and enterprise software systems for a variety of industries.
Current projects span healthcare, CRM, automation, and enterprise software development, offering opportunities to work on diverse products.
As a growing company, PulseSoftX values experimentation, technical excellence, and collaborative problem-solving, providing space for team members to influence architecture and product direction.
Role Description This is a full-time, on-site AI Engineer role based in Kathmandu.
The AI Engineer will design, implement, and optimize machine learning and AI models to support SaaS, healthcare, CRM, and automation products.
Daily responsibilities include researching and prototyping AI solutions, building and testing models (including neural network and NLP-based systems), integrating AI components into production software, and collaborating with software developers and product teams.
The role involves analyzing data for pattern recognition, improving model performance, documenting technical decisions, and ensuring AI solutions are scalable, reliable, and maintainable.
The AI Engineer will also participate in code reviews, contribute to architectural discussions, and help implement best practices for ML and AI deployment.
Qualifications
Strong foundation in Computer Science with practical experience in Software Development for production systems.Proficiency in Pattern Recognition and Neural Networks for building and tuning machine learning models.Hands-on experience with Natural Language Processing (NLP) for text-based analytics and automation.Familiarity with common ML/AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages such as Python.Experience working with cloud platforms and containerization (e.g., AWS, GCP, Docker, Kubernetes) is beneficial.Ability to work collaboratively in a startup environment, manage multiple projects, and communicate complex technical concepts clearly.Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.Background in healthcare, CRM, or enterprise software domains is a plus.
