Job Summary:

We are seeking an experienced Full Stack Architect with deep expertise in front-end frameworks (React.js, Angular), back-end development (Node.js, Python), and advanced knowledge in Artificial Intelligence/Machine Learning. The ideal candidate will lead the architecture, design, and implementation of scalable, high-performance web applications while integrating AI-powered features. This is a strategic technical leadership role involving hands-on development, team mentoring, and solution design across the stack.

Key Responsibilities:

• Design and lead the architecture of complex, full-stack web applications using React.js, Angular, Node.js, and Python.
• Collaborate with data scientists and AI/ML engineers to integrate intelligent features into platforms.
• Create scalable and reusable components and microservices to support multiple products.
• Define and enforce coding standards, architectural guidelines, and best practices.
• Drive cloud-native architecture using platforms such as AWS, Azure, or GCP.
• Perform hands-on development and code reviews to ensure quality and performance.
• Work closely with DevOps to ensure CI/CD pipelines, containerization (Docker/Kubernetes), and automation are in place.
• Translate product requirements into technical specifications and development plans.
• Provide mentorship and technical guidance to full stack and AI developers.
• Stay up to date with emerging technologies, frameworks, and industry trends.
  
  
  

Required Skills and Experience:

• Proven experience as a Full Stack Architect or Senior Full Stack Developer (8+ years).
• Expert in React.js, Angular, and TypeScript for front-end architecture.
• Strong proficiency with Node.js and Python in building back-end APIs and services.
• Experience with AI/ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and integrating AI into applications.
• Solid understanding of RESTful APIs, GraphQL, and WebSocket architecture.
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and serverless architecture.
• Proficiency in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
• Strong understanding of system design, distributed systems, and microservices architecture.
• Excellent problem-solving, leadership, and communication skills.
  
  
  

Preferred Qualifications:

• Master’s or Bachelor’s degree in Computer Science, Engineering, or related field.
• Certification in cloud platforms (AWS Architect, GCP Professional Cloud Architect, etc.).
• Experience with generative AI (e.g., OpenAI, LLMs) and deploying AI models in production.
• Familiarity with infrastructure as code (Terraform, CloudFormation).
  
  
  

Benefits:

• Competitive salary and performance bonuses
• Flexible work hours and remote work options
• Career growth opportunities
• Access to advanced AI/ML tools and compute resources
• Collaborative and innovative team environment