: Generative AI/ML Full Stack Developer

Experience: 2-3 years

Employment Type: Full-time

Role: Generative AI/ML Full Stack Developer

Role Overview

Were looking for a hands-on Generative AI/ML Full Stack Developer to build, integrate, and deploy AI-powered applications. The ideal candidate has experience developing backend services and APIs, working with microservices, and deploying containerized applications through automated CI/CD pipelines.

Key Responsibilities

- Design, develop, and maintain scalable full-stack applications with a focus on AI/ML capabilities.
- Build backend services and REST APIs using Python, Django, and FastAPI.
- Develop and integrate microservices, ensuring reliability, performance, and maintainability.
- Work with Generative AI and machine-learning models to support application features.
- Containerize applications using tools such as Docker and support deployment to cloud or other hosting environments.
- Build and maintain CI/CD pipelines and automated testing and deployment workflows.
- Collaborate with product, design, and engineering teams to deliver secure, high-quality software.
- Troubleshoot issues across development, testing, and production environments.




- Write clean, reusable, well-documented code and contribute to code reviews.

Required Qualifications
- 23 years of skilled software development experience.
- Strong hands-on experience with Python.
- Experience building applications and APIs with Django and/or FastAPI.
- Practical experience with microservices architecture.
- Experience developing and deploying containerized applications.
- Knowledge of CI/CD automation and software testing practices.
- Understanding of frontend and backend development concepts.
- Familiarity with Generative AI/ML concepts and integrating AI/ML services into applications.
- Strong problem-solving, communication, and collaboration skills.

Preferred Qualifications
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with Kubernetes or other container orchestration tools.
- Experience with relational or NoSQL databases.
- Familiarity with monitoring, logging, and application security practices.
- Experience with LLM APIs, prompt engineering, or retrieval-augmented generation (RAG).

📌 Senior AI/ML Engineer (Hyderabad)
🏢 IntraEdge Technology
📍 Hyderabad