TymblHub

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AI Full Stack Developer

Pronix Inc
Posted on

Experience
4 - 6 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Full Stack Developer
Job Type
Not specified

Job Description

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

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