AI & Data Intern – Retrieval Systems, Automation & Sustainability

Help Build the AI Engine for a Greener Future Position:AI & Data Intern – Retrieval Systems, Automation & Sustainability Location:On-site (Delhi NCR) Duration:Minimum 3 months (extendable to 6 months) Stipend Provided | Certificate | Pre-Placement Offer OpportunityAbout 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. We’re now buildingNovaGenesis 1.0 , an AI platform that understands scientific and experimental data to deliver context-driven insights for our R&D and process automation workflows. We’re looking for people wholove hard technical challenges ,think independently , and want to help build a world-class AI product with real-world impact. If you perform strongly, this role can convert into a full-time position.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: Improvingcontext retrievalfrom structured scientific and experimental data Enhancingsemantic accuracyandcontext alignmentbetween retrieved content and model output Building scalable document-parsing and data-automation workflows Developingmetadata-aware retrieval logicfor 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 dataWho We’re Looking For We wantbuilders , not just learners—people who can debug, reason, and deliver. 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 forlong-term or full-time rolesLearn. Build. Impact. Join us to create the AI backbone of sustainable innovation.

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