Python Backend and AI Intern

About Deckoviz Space Labs

Deckoviz is revolutionizing art, storytelling, and ambiance in spaces with its AI-powered dynamic art frame, Deckoviz DSAP. The company uses generative AI, predictive AI, emotional intelligence, and creative expression to build immersive, intelligent spaces.

About the Role

This is a full-time, 3-6 month paid internship for a Python Backend and AI/LLM Engineering Intern. The role involves working on backend systems, AI integrations, and scalable APIs for consumer applications.

Key Responsibilities

• Design and build backend APIs using FastAPI or Django
• Integrate LLM features, vector databases, and RAG pipelines
• Deploy features to production using cloud platforms
• Work on live applications powering customer experiences
• Assist in developing and maintaining backend systems
• Integrate AI models
• Optimize data structures and algorithms for real-time performance
• Collaborate with cross-functional teams to implement backend solutions
• Assist in the enhancement of AI-driven services
• Debug and optimize code
• Contribute to data preprocessing pipelines
• Support the deployment of machine learning models into production environments
• Build, deploy, and manage scalable Python backend systems
• Develop and document RESTful APIs for AI-powered features
• Integrate and work with LLMs and AI pipelines (RAG, embeddings, etc.)
• Work with cloud infra (AWS, GCP, Azure) to host and manage services
• Use vector databases and tools like Pinecone or FAISS for retrieval
• Troubleshoot, optimize, and iterate on code
• Participate in sprint planning and fast product cycles using tools like Cursor

Requirements & Tech Stack

• Proficiency in Python
• Experience with backend development frameworks such as Flask or Django
• Basic understanding of AI concepts, machine learning algorithms
• Experience with libraries like TensorFlow or PyTorch
• Familiarity with RESTful APIs, data preprocessing techniques, and database management
• Problem-solving abilities, attention to detail, and a growth mindset
• Excellent collaboration and communication skills
• Hands-on experience with:
• LLMs and AI integrations (e.g., OpenAI, HuggingFace)
• Vector embeddings & semantic search
• SQL and NoSQL databases (PostgreSQL, MongoDB)
• Strong debugging skills
• Basics of DevOps and Cloud is a must
• Must be self-motivated, proactive, and able to work independently
• Pursuing or completing a degree in Computer Science, Data Science, Engineering, or a related technical field

Preferred Qualifications

• Experience with cloud basics (deployment, hosting, scaling) and cloud services like AWS or Google Cloud
• Knowledge of version control systems such as Git
• Experience deploying apps/web apps to production is a plus

Bonus Points (Not Mandatory, But Appreciated)

• Experience with:
• RAG pipelines, FAISS, Pinecone, ChromaDB
• Cloud DevOps or CI/CD flows
• Code-gen tools (Cursor, GitHub Copilot, Windsurf, etc.)
• Frontend knowledge or full-stack work
• MLOps or model fine-tuning experience

Internship Details

• Duration: 3-6 months (Full-time)
• Stipend: ₹5k-10k/month, paid at the end of the internship
• Post-Internship Offer: Full-time role may be offered, with salary based on performance.
• Start Date: Immediate
• Location: Remote
• Eligibility: Must have completed college or be in the final year.