Python Stack AI Engineer

Job Title: Python Full Stack AI Engineer

Experience: 3+ Years
Location: Onsite (Indore)
Employment Type: Full-time

About the Role

We are seeking a Python Full Stack AI Engineer with 3+ years of hands-on experience in building scalable web applications and integrating AI/ML models into production environments. The ideal candidate is passionate about both software development and artificial intelligence, capable of working across the entire stack - from backend APIs to frontend interfaces, and from model training to deployment.

Key Responsibilities

• Design and develop end-to-end web applications using Python (Django, Flask, or FastAPI) and modern JavaScript frameworks (React, Vue, or Angular).
• Build, train, and integrate AI/ML models using frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Develop and maintain RESTful / GraphQL APIs to connect the frontend with AI services.
• Work with databases (SQL/NoSQL) for data storage, retrieval, and model input pipelines.
• Collaborate with data scientists and product teams to design, test, and deploy intelligent features.
• Optimize performance and scalability of AI-driven applications.
• Deploy applications and models using Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
• Maintain documentation, write clean code, and follow version control best practices (Git).

Required Skills

• 2+ years of professional experience as a Full Stack Developer or AI Engineer.
• Strong programming skills in Python.
• Experience with one or more web frameworks: Django, Flask, or FastAPI.
• Proficiency in frontend technologies - HTML, CSS, JavaScript, React.js (or similar).
• Solid understanding of machine learning concepts and hands-on with frameworks like PyTorch, TensorFlow, or scikit-learn.
• Experience with REST API development and microservices architecture.
• Good knowledge of databases (MySQL, PostgreSQL, MongoDB, etc.).
• Familiar with DevOps practices, Docker, and CI/CD pipelines.
• Strong debugging, analytical, and problem-solving skills.

Preferred Skills

• Exposure to LLMs (Large Language Models) and tools like LangChain, OpenAI API, or Hugging Face.
• Experience with MLOps tools (MLflow, DVC, Kubeflow).
• Knowledge of data visualization libraries (Plotly, Dash, or Streamlit).
• Understanding of prompt engineering and AI-powered application design.

Education

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field

Job Types: Full-time, Permanent

Pay: ₹40,000.00 - ₹60,000.00 per month

Benefits:

• Health insurance
• Paid sick time
• Provident Fund

Language:

• English (Preferred)

Work Location: In person