What you'll do
- Develop AI-powered applications using Python.
- Build and integrate LLM-based features, AI Agents, and RAG pipelines.
- Design and optimize prompts for Generative AI applications.
- Work with APIs, databases, and AI frameworks.
- Research and implement the latest AI technologies and best practices.
- Test, debug, and improve AI models and applications.
- Collaborate with cross-functional teams to deliver scalable AI solutions.
What you'll need
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Science, or a related field.
- Good programming skills in Python.
- Understanding of AI/ML fundamentals.
- Basic knowledge of Generative AI and Large Language Models.
- Strong analytical and problem-solving skills.
- Good communication and eagerness to learn.
- Biology Background: Studied Biology in Class 12 or pursuing a degree related to Life Sciences, Biotechnology, Biomedical Engineering, Pharmacy, Medicine, or other biological sciences. OR Accounting/Finance Background: Knowledge of Accounting, Commerce, Finance, Bookkeeping, GST, Financial Statements, or related business concepts through education or coursework.
Nice to have
- Experience with LangChain, LlamaIndex, OpenAI APIs, Hugging Face, or similar AI frameworks.
- Knowledge of vector databases and Retrieval-Augmented Generation (RAG).
- Familiarity with Git, REST APIs, and SQL/NoSQL databases.
- Personal AI/ML projects or contributions to open-source repositories.
- Basic understanding of healthcare or financial workflows.
Benefits
- Work on real-world AI products used in Healthcare and Finance.
- Hands-on experience with cutting-edge AI technologies, including LLMs and AI Agents.
- Mentorship from experienced AI engineers.
- Opportunity to contribute to production-ready applications.
- Collaborative and innovation-driven work environment.
- High-performing interns may be considered for a full-time opportunity.
Interested
Send your resume and a brief cover letter to our careers team.
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