Location: [Specify Remote/In-Office Location]
Employment Type: Full-Time
About Us:
At Vasst, we’re revolutionizing the way businesses handle communication with advanced, human-like Voice AI technology. We empower companies to save time, reduce costs, and deliver smarter call management solutions. Join our team and help us build the future of AI-driven innovations!
Job Overview:
We are looking for a talented AI Programmer with over 2 years of experience to join our dynamic team. In this role, you will develop, implement, and optimize AI algorithms that power our Voice AI solutions. You’ll collaborate closely with cross-functional teams to design and deploy AI models that elevate user experience and push the boundaries of AI-driven technologies.
Key Responsibilities:
• Design, develop, and implement AI models and algorithms for voice processing, natural language understanding, and speech synthesis.
• Work on cutting-edge AI technologies, including machine learning, deep learning, and NLP (Natural Language Processing).
• Optimize models for performance, scalability, and deployment on cloud-based or on-premise platforms.
• Integrate AI solutions into Vasst’s Voice AI platform, ensuring seamless functionality and human-like interactions.
• Collaborate with product managers, software engineers, and UX designers to align AI solutions with business goals.
• Analyze and process large datasets to improve model accuracy and efficiency.
• Stay updated with the latest advancements in AI and voice technologies and implement best practices.
• Debug, test, and refine AI models to ensure reliability and quality.
Qualifications and Skills:
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Minimum 2 years of professional experience in AI development and programming.
• Proficiency in programming languages such as Python, Java, or C++.
• Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of NLP, speech recognition, or voice synthesis technologies.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for AI model deployment.
• Strong problem-solving skills and a passion for innovation.
• Excellent communication skills and the ability to work collaboratively in a team.
Preferred Qualifications:
• Experience in developing conversational AI or Voice AI systems.
• Knowledge of deployment pipelines and tools (e.g., Docker, Kubernetes).
• Familiarity with data labeling tools and practices.
• Exposure to RESTful APIs and integrating AI services into applications.
What We Offer:
• Competitive salary and benefits package.
• Opportunity to work with cutting-edge AI technologies.
• A collaborative and innovative work environment.
• Career growth opportunities and professional development support.
• Flexible working options (remote/hybrid).
Let’s build the future of AI together! 🚀
Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- Over 2 years of professional experience in AI development and programming
- Proficiency in Python, Java, or C++
- Hands-on experience with TensorFlow, PyTorch, or Scikit-learn
- Knowledge of NLP, speech recognition, or voice synthesis technologies
- Familiarity with AWS, Azure, or Google Cloud for AI model deployment
- Strong problem-solving skills
- Excellent communication and collaboration skills
- Experience developing conversational AI or Voice AI systems
- Knowledge of deployment pipelines and Docker or Kubernetes
- Familiarity with data labeling tools and practices
- Exposure to RESTful APIs and AI service integration
What We Do
Vasst develops Voice AI technology for businesses, using human-like voice agents to automate call management while preserving natural, empathetic interactions. Its solutions handle calls to help organizations save time and reduce operating costs, improve customer satisfaction, and free staff for higher-value work. The company says its platform draws on recent advances in artificial intelligence and emphasizes accuracy, reliability, and scalability as a smarter way to manage business calls.








