Full-Stack Developer

Role Overview

We are seeking a talented Full-Stack Developer with 3–4 years of hands-on experience in modern web technologies and AI-driven development. The ideal candidate will work across both frontend and backend systems, build scalable applications, and support the integration of advanced AI components such as LLMs, Computer Vision, and Speech-to-Text (STT) when required.

This is an immediate hiring requirement, and the selected candidate will join high-impact digital and AI transformation projects.

• Design, develop, and maintain responsive web applications.
• Build scalable backend services and APIs using modern frameworks (Node.js, Python, etc.).
• Develop front-end interfaces using React, Next.js, Angular, or similar frameworks.
• Implement best practices in coding, testing, deployment, and Dev Ops.

• Integrate existing AI models (LLMs, CV, STT) into applications.
• Work with APIs or SDKs for AI-related functionalities.
• Collaborate with AI and ML engineers to embed models into production environments.

• Participate in system design, architecture recommendations, and technical planning.
• Deploy applications using Docker, CI/CD pipelines, and cloud environments (AWS, Azure, GCP).
• Optimize application performance, security, and scalability.

• Work closely with cross-functional teams (AI, backend, frontend, Dev Ops).
• Participate in code reviews and knowledge-sharing sessions.
• Create clear technical documentation for features, APIs, and deployments.

• 3–4 years of full-stack development experience in production environments.
• Proven experience with frontend AND backend frameworks.
• Experience integrating third-party services, APIs, and libraries.
• Hands-on work in cloud-based, microservice, or container environments.

Frontend:

• React / Next.js / Angular / Vue
• HTML5, CSS3, JavaScript / Type Script

Backend:

• Node.js, Python (FastAPI, Django, Flask), or similar
• REST APIs / GraphQL

Databases:

• SQL (Postgre
  
  SQL, MySQL)
• No
  
  SQL (Mongo
  
  DB, Firebase, Redis)

Dev Ops & Cloud:

• Docker, Git, CI/CD
• AWS / Azure / GCP

Bonus (Preferred):

• Experience with LLM APIs (OpenAI, Hugging Face)
• Basic familiarity with Computer Vision or STT
• Experience integrating AI services (not mandatory)

• Strong problem-solving abilities
• Excellent communication skills
• Ability to work in fast-paced, multi-team environments
• Attention to detail and code quality

• Bachelor’s degree in computer science, Software Engineering, IT, or related field.