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 effective 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

📌 AI Full Stack Developer (Hyderabad)
🏢 Pronix IT Solutions
📍 Hyderabad