Senior Fullstack Engineer (Lead)

About Fusemachines
Fusemachines is a leading provider of AI strategy, talent, and education services. Founded by Dr. Sameer Maskey, an Adjunct Associate Professor at Columbia University, our mission is to democratize AI. With a presence in four countries—Nepal, the United States, Canada, and the Dominican Republic—and a team of over 350 full-time employees, we leverage our global AI expertise to drive innovation and transformation for businesses worldwide.

About the Role
We are looking for a Senior Fullstack Engineer with 5-6 years of experience to join our team. This is a hands-on engineering role where you will work across the backend, frontend, and AI-integrated solutions, solving complex engineering challenges and contributing to technical decisions. The ideal candidate will have a strong backend focus but should also be proficient in frontend development.

This is a Full time internal role (Remote)

Responsibilities:
    • Design, develop, and maintain scalable fullstack applications.
    • Work on backend services using Python, Node.js (NestJS), and Golang.
    • Develop front-end applications using React.js.
    • Build and optimize RESTful APIs and microservices.
    • Integrate AI/ML features, with some knowledge of GenAI tools and ML deployments.
    • Work with databases such as PostgreSQL and ClickHouse.
    • Ensure application monitoring, performance optimization, and testing.
    • Deploy and manage services using Kubernetes and Docker (strong understanding required).
    • Collaborate with cross-functional teams to solve engineering problems and drive technical decisions.
    • Adapt to working in Nepal time zone, including occasional off-hours, late nights, or early mornings.

Requirements:
    • 5-6 years of hands-on experience in software development.
    • Strong expertise in backend development with Python, Node.js (NestJS), and Golang.
    • Proficiency in frontend development with React.js.
    • Experience working with PostgreSQL and ClickHouse databases.
    • Solid understanding of APIs, microservices, and distributed systems.
    • Experience integrating AI/ML features into applications.
    • Strong knowledge of Kubernetes and Docker (mandatory).
    • Familiarity with application monitoring, testing, and performance optimization.
    • Bachelor's degree in Computer Science or a related field (preferred but not required).

Equal Opportunity Employer: Fusemachines is committed to fostering a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other legally protected status.