AI Full Stack Developer

Job highlights

• Location : Hyderabad . Full Time .
• The ideal candidate should be proficient in both frontend and backend technologies,AI / ML frameworks,and cloud deployment
• Experience with NLP,Computer Vision,or Generative AI
• . Hands-on experience with AI model deployment using TensorFlow Serving or TorchServe

Role : AI Full Stack Developer

Location : Hyderabad

Full Time

Note : Need 4 to 6 Years (Client Project Experiences)

Job Summary:

We are looking for an AI Full Stack Developer who has expertise in developing AI-powered applications, integrating machine learning models, and building scalable web applications. The ideal candidate should be proficient in both frontend and backend technologies, AI/ML frameworks, and cloud deployment.

Key Responsibilities:

• Develop, test, and maintain full-stack AI applications using modern web technologies.
• Design and implement AI/ML models, integrating them into web and backend services.
• Work with Python frameworks (Django, Flask, FastAPI) and JavaScript frameworks (React, Angular, or Vue.js).
• Optimize AI models for scalability and performance in production.
• Implement RESTful APIs and microservices architecture.
• Work with databases (SQL, NoSQL) for efficient data storage and retrieval.
• Deploy and manage applications on cloud platforms (AWS, Azure, GCP).
• Collaborate with data scientists, product managers, and other developers.
• Ensure application security, data integrity, and compliance.
• Troubleshoot and resolve performance issues in AI models and applications.

Required Skills:

• Frontend: React.js, Angular, Vue.js, HTML, CSS, JavaScript, TypeScript
• Backend: Python (Django, Flask, FastAPI), Node.js
• AI/ML: TensorFlow, PyTorch, OpenAI, Scikit-learn
• Databases: PostgreSQL, MongoDB, MySQL
• Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD pipelines
• Version Control: Git, GitHub, Bitbucket
• APIs & Microservices: RESTful APIs, GraphQL, WebSockets
• Big Data & Analytics: Spark, Hadoop, Elasticsearch (optional)

Preferred Qualifications:

• Experience with NLP, Computer Vision, or Generative AI.

• Knowledge of MLOps best practices.

• Hands-on experience with AI model deployment using TensorFlow Serving or TorchServe.

• Familiarity with LLMs (Large Language Models) and API integrations like OpenAI/GPT models.

  Previous experience working with AI-driven SaaS applications