Fullstack Developer (AI)
Posted Updated
Summary
Builds and maintains full stack web applications with embedded AI features (chatbots, recommendation systems, automation testing tools) — frontend plus backend services and APIs, working with data scientists to deploy models. Stack spans Vue/React/Angular frontends and Java Spring Boot/Node.js/Python backends, with basic-to-intermediate AI/ML exposure (TensorFlow, PyTorch, AI APIs).
We are looking for a
Full Stack Developer withfoundational to intermediate AI/ML knowledge
to help build intelligent,scalable software applications with AI features. This role is ideal forcandidates who are strong in software engineering and have
hands-on exposureor growing interest in AI technologies. You will collaborate with software teams in projects delivered using either Waterfall or Agile methodologies, depending on business/client requirements Key Responsibilities Develop and maintain full stack web applications (frontend and backend) Integrate pre-built or internally developed AI/ML models into applications Build and consume RESTful APIs and backend services Support AI feature development such as chatbots, recommendation systems, or automation testing tools Work with data scientists to test and deploy machine learning models Create responsive UI components and improve user experience Perform debugging, testing, and code optimization
Required Skills & Qualifications Bachelor's degree in computer science, computer engineering, or related field (or equivalent practical experience) 0-5 years of experience in software or full stack development Proficiency in at least one frontend framework: Vue.js, React or Angular Backend development experience with: Java Spring Boot, Node.js, Python (Flask/FastAPI), or similar Basic understanding of databases: SQL (PostgreSQL/MySQL) or NoSQL (MongoDB) Foundational knowledge of AI/ML concepts: Supervised/unsupervised learning, Model inference vs training Exposure to AI tools/frameworks (academic or project-based experience acceptable): TensorFlow, PyTorch, etc Familiarity with GitLab, Kubernetes, Jira AI/ML Requirements Basic to intermediate knowledge of machine learning concepts Experience (project or professional) with: AI/ML libraries (TensorFlow, PyTorch, Scikit-learn), or AI APIs (OpenAI, Azure AI, AWS AI)
Full Stack Developer withfoundational to intermediate AI/ML knowledge
to help build intelligent,scalable software applications with AI features. This role is ideal forcandidates who are strong in software engineering and have
hands-on exposureor growing interest in AI technologies. You will collaborate with software teams in projects delivered using either Waterfall or Agile methodologies, depending on business/client requirements Key Responsibilities Develop and maintain full stack web applications (frontend and backend) Integrate pre-built or internally developed AI/ML models into applications Build and consume RESTful APIs and backend services Support AI feature development such as chatbots, recommendation systems, or automation testing tools Work with data scientists to test and deploy machine learning models Create responsive UI components and improve user experience Perform debugging, testing, and code optimization
Required Skills & Qualifications Bachelor's degree in computer science, computer engineering, or related field (or equivalent practical experience) 0-5 years of experience in software or full stack development Proficiency in at least one frontend framework: Vue.js, React or Angular Backend development experience with: Java Spring Boot, Node.js, Python (Flask/FastAPI), or similar Basic understanding of databases: SQL (PostgreSQL/MySQL) or NoSQL (MongoDB) Foundational knowledge of AI/ML concepts: Supervised/unsupervised learning, Model inference vs training Exposure to AI tools/frameworks (academic or project-based experience acceptable): TensorFlow, PyTorch, etc Familiarity with GitLab, Kubernetes, Jira AI/ML Requirements Basic to intermediate knowledge of machine learning concepts Experience (project or professional) with: AI/ML libraries (TensorFlow, PyTorch, Scikit-learn), or AI APIs (OpenAI, Azure AI, AWS AI)