Full-Stack Developer – AI Engineering Team

We are looking for a highly skilled and motivated Full-Stack Developer to join our AI Engineering Team. This role involves taking full ownership of

both frontend and backend development tasks to build end-to-end features for AI-powered systems. The ideal candidate will have deep knowledge of

Angular for the frontend and experience in backend development using Node.js, Python, or similar technologies.

You’ll work closely with AI engineers, data scientists, product managers, and designers to deliver scalable, secure, and high-performance applications that bring AI capabilities to our users.

Responsibilities:

Design, develop, and maintain scalable front-end and back-end components for AI applications
Take end-to-end ownership of features, from UI to database and API layers
Develop new features in Angular and ensure seamless integration with backend services
Build and maintain backend APIs (REST/GraphQL) to support frontend needs and AI inference services
Optimize applications for speed, scalability, and security
Implement and maintain automated testing for both frontend and backend components
Collaborate with cross-functional teams to understand user needs and product requirements
Participate in architectural discussions and code reviews

What We Offer:

The opportunity to build innovative AI features end-to-end within a strong engineering team
Full ownership and influence over technical decisions and product features
Collaborative and fast-paced environment with continuous learning opportunities
A team that values quality, innovation, and autonomy

Requirements:

4+ years of experience in full-stack development
Proficiency in Angular (v10+), TypeScript, HTML, and CSS
Strong experience in backend development using Node.js, Python (Flask/FastAPI), or similar frameworks
Hands-on experience with Python, Java, or Kotlin for backend service development
Experience with RESTful APIs, GraphQL, and asynchronous data handling
Working knowledge of databases (SQL and NoSQL)
Experience with Git, CI/CD pipelines, and containerized environments (Docker, Kubernetes is a plus)
Familiarity with testing tools (e.g., Jasmine, Jest, Cypress, Pytest)
Ability to work independently and manage full-stack features from start to finish

Nice to Have:

Experience in AI or data-intensive products
Experience with message brokers (e.g., Kafka, RabbitMQ)
Exposure to cloud platforms (e.g., GCP, AWS, Azure)
Knowledge of secure coding practices and performance optimization