AIMLEAP

Full Stack Developer – AI Solutions

India

2 days ago
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Summary

Full Stack Developer – AI Solutions (WFH) 

Experience: 3–5 years 

Location: Remote/Bengaluru 

Mode of Engagement: Full time/ Part time 

No of Positions:

Educational Qualifications: Bachelor's degree in computer science, Engineering, or related field 

Industry: IT/Software/ITES (B2B/SaaS) 

Notice Period: Immediate 

 


What We Are Looking For: 


  • Proven experience in full-stack development, specifically in building AI-powered applications 
  • Strong expertise in both front-end (React.js, Angular, etc.) and back-end (Node.js, Django, etc.) technologies 
  • Solid experience with database management (SQL/NoSQL) and integrating APIs 
  • Familiarity with AI/ML concepts and integration of models into production environments 
  • Ability to work collaboratively in a fast-paced, cross-functional team 

 


Responsibilities: 


  • Develop and maintain AI-driven applications with both front-end and back-end components 
  • Design and implement scalable and high-performance APIs for integrating AI models 
  • Collaborate with AI scientists and engineers to embed machine learning models into applications 
  • Build user interfaces using modern front-end frameworks (React, Angular, etc.) 
  • Create and optimize back-end services and databases to support AI features and data processing 
  • Implement and maintain version control using Git for collaboration with the development team 
  • Participate in code reviews, testing, and debugging of software solutions 
  • Continuously monitor, optimize, and improve the performance of AI applications 

 


Qualifications: 

  • Bachelor's degree in Computer Science, Engineering, or related domain 
  • 3–5 years of experience in full-stack development, preferably with AI-driven applications 
  • Strong proficiency in front-end technologies (React, Angular, Vue.js) and back-end frameworks (Node.js, Django, Flask) 
  • Experience working with databases (SQL/NoSQL) and RESTful API design 
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) 
  • Knowledge of AI/ML concepts and frameworks (TensorFlow, PyTorch, etc.) 
  • Strong problem-solving skills and ability to troubleshoot complex issues 
  • Excellent communication and teamwork abilities 

 

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