We are seeking an intellectually curious, communicative, and driven AI Intern to build, evaluate, and deploy intelligent features and systems. This role is targeted at students and recent graduates from premier engineering institutions across Maharashtra (such as IIT Bombay, COEP Technological University, VJTI Mumbai, VNIT Nagpur, SPIT, PICT, and peer colleges).

You will not just be running model weights or prompt templatesyou will articulate problem statements, collaborate directly with product and backend teams, and translate complex algorithmic outcomes into crisp technical narratives and production-ready code.

Key Responsibilities

- Prototype & Implement AI Solutions: Design, experiment with, and evaluate generative AI pipelines, Retrieval-Augmented Generation (RAG) workflows, multi-agent frameworks, and classical ML models.
- Data Curation & Evaluation: Prepare, clean, and structure benchmark datasets; establish evaluation metrics (LLM-as-a-judge, BLEU/ROUGE, precision/recall) to evaluate system performance.
- Engineering Integration: Work alongside backend engineers to package AI systems into modular microservices using REST APIs and fast inference patterns.
- Technical Communication & Demos: Document system architecture, present weekly progress demos to engineering leadership, and write concise technical memos explaining model trade-offs, latency, and failure cases.
- Emerging Tech Research: Track latest research papers, model releases (open-weight & commercial LLMs), and developer frameworks, sharing actionable summaries with the broader team.





Qualifications & Requirements

1. Education & Background

- Currently pursuing or recently completed B.Tech / B.E. / M.Tech in Computer Science, AI & Data Science, Information Technology, Electrical, or related disciplines.
- From recognized premier engineering colleges in Maharashtra (e.g., IIT-B, COEP, VJTI, VNIT, SPIT, PICT, VIT Pune, Walchand, or equivalent).
- Strong foundational academic standing (CGPA of 7.5+ or equivalent).

2. Technical Capabilities

- Core Languages: Solid proficiency in Python (NumPy, Pandas, asynchronous programming) and basic understanding of SQL.
- AI/ML Tooling: Hands-on experience with modern AI stacks (e.g., PyTorch, Hugging Face, LangChain/LlamaIndex, OpenAI/Anthropic APIs, vector databases like FAISS, Chroma, or Qdrant).
- Software Fundamentals: Familiarity with Git version control, Docker basics, and RESTful API development (FastAPI/Flask).
- Portfolio Evidence: Active GitHub profile, live projects, hackathon prototypes, or published technical blog posts demonstrating hands-on building.

3. Communication & Mindset (Crucial)

- High Technical Articulation: Ability to simplify complex mathematical and algorithmic concepts into clear diagrams and spoken explanations for non-technical stakeholders.
- First-Principles Thinking: Intellectual rigor to question assumptions, diagnose model hallucinations, and design structured experiments.
- Proactive Ownership: Comfort operating in an agile environment with rapid iteration and ambiguity.

📌 Artificial Intelligence Intern (Mumbai)
🏢 Learningmate Solutions
📍 Mumbai