The position is a full-time AI Intern role with a minimum experience requirement of 0 years.
The job is remote and based in India.
Key responsibilities include contributing to the ideation, design, and development of GenAI features such as chatbots, automated assistants, and custom workflow agents using LangGraph and LangChain.
The intern will implement robust, scalable code with a strong foundation in data structures and algorithms (DSA).
Collaboration with engineers and product managers is essential to translate user demands and research insights into functional prototypes.
The role involves integrating and evaluating LLM-based solutions for conversational AI, knowledge retrieval, and content generation tasks.
Participation in code reviews, documentation, and version control efforts is required to ensure maintainability and knowledge sharing.
The intern will engage in rapid prototyping, A/B testing, and performance evaluation of generative models and their outputs.
Demonstrating initiative by sharing learnings from hackathons, side projects, or previous internships with the team is encouraged.
Requirements:
Candidates should have experience, either academic or practical, in relevant fields.
A strong command of data structures and algorithms is required, demonstrated through coursework, competitive programming, or validated online platforms.
Prior experience developing generative AI applications or prototyping with LangGraph, LangChain, or similar LLM frameworks is necessary, whether through projects, courses, or internships.
Successful participation in major hackathons, coding competitions, or relevant projects is considered a strong plus.
Previous internship(s) or substantial open-source contributions in AI, NLP, or backend Python roles are preferred.
Technical skills required include proficiency in Python and its ecosystem, with preferred experience in AI/ML libraries.
Familiarity with GenAI concepts such as LLMs, prompt engineering, and text-processing pipelines is essential.
Basic software engineering hygiene is expected, including working with Git, writing unit tests, and using collaborative tools like GitHub, Notion, and Jira.
Exposure to web frameworks such as Flask, FastAPI, or Django is a plus.
Candidates should demonstrate eagerness to learn from mentorship and work in a fast-paced, cross-functional team.
The ability to communicate technical and non-technical concepts clearly is required.
Benefits:
The position offers the opportunity to work remotely from India.
Interns will gain hands-on experience in developing generative AI features and applications.
The role provides a chance to collaborate with experienced engineers and product managers, enhancing professional growth.
Interns will have the opportunity to participate in code reviews and documentation, contributing to their learning and development.
The position encourages sharing knowledge and learnings from hackathons and projects, fostering a collaborative environment.
Interns will be part of a fast-paced, cross-functional team, which will enhance their teamwork and communication skills.