AI & Data Intern – Retrieval Systems, Automation & Sustainability

Help Build the AI Engine for a Greener Future

Position:

Location:

Duration:

Stipend Provided | Certificate | Pre-Placement Offer Opportunity

About Novasensa

Novasensa is a deep-tech sustainability company developing next-generation technologies for lithium-ion battery and e-waste recycling. Our systems recover valuable and critical metals from used electronics—powering the transition to clean energy and a circular economy.

NovaGenesis 1.0

love hard technical challenges

What You’ll Be Building

NovaGenesis aims to interpret and reason over complex experimental data. The system combines document understanding, semantic retrieval, and intelligent response generation to assist scientists and engineers in decision-making.

You’ll help solve real problems such as:

• Improving

  context retrieval

  from structured scientific and experimental data
• Enhancing

  semantic accuracy

  and

  context alignment

  between retrieved content and model output
• Building scalable document-parsing and data-automation workflows
• Developing

  metadata-aware retrieval logic

  for multi-format lab files

Your work will directly influence how AI supports sustainable materials recovery and laboratory automation.

Responsibilities

AI & Backend Development

• Implement and optimize retrieval and semantic-search pipelines
• Design and test chunking, indexing, and data-processing logic for mixed document types
• Improve context precision and minimize hallucination through better alignment techniques

Automation & Data Engineering

• Write Python scripts to parse and organize structured lab data
• Automate data tracking, visualization, and reporting workflows
• Build lightweight interfaces (e.g., Streamlit) for experiment monitoring

System Improvement & Testing

• Evaluate performance of retrieval pipelines and propose algorithmic enhancements
• Work closely with domain experts to align AI responses with real scientific data

Who We’re Looking For

builders

Must-Have

• Solid Python programming and debugging skills
• Understanding of data structures, OOP, and file handling
• Experience or coursework in AI, ML, or data-driven systems
• Curiosity to design retrieval-augmented or knowledge-based applications

Good to Have

• Experience with vector databases or semantic search frameworks
• Exposure to document-parsing or automation libraries
• Knowledge of prompt-engineering and context optimization
• Interest in sustainability, recycling, or applied AI in scientific domains

Education

• B.Tech / M.Tech / B.E. in Computer Science, AI/ML
• B.Sc / M.Sc in Computer Science, AI/ML,

Why Join Us

• Build a real AI system from first principles—no toy projects
• Work directly with founders and researchers driving India’s clean-tech innovation
• Every contribution you make will have measurable environmental impact
• Strong performers will be considered for

  long-term or full-time roles

Learn. Build. Impact.

Join us to create the AI backbone of sustainable innovation.