Introduction
This article outlines a 6-month full-time AI Fellowship/Internship designed to build deployable AI solutions for enterprise use. Fellows will convert prototypes into production-ready models, work with LLMs, automation frameworks, and data pipelines, participate in end-to-end sprints, and document scalable solutions under senior mentorship. Details on stipend, duration, expectations, and candidate requirements follow for prospective applicants seeking hands-on production experience and growth.
Program Structure and Fellow Responsibilities
The core of this full-time 5–6 month AI Fellowship/Internship centers on transforming experimental work into enterprise-grade deployments. Fellows are expected to take existing prototypes and systematically refine them into production-ready models suitable for real-world use. This includes continuous engagement with large language models (LLMs), implementation and tuning within automation frameworks, and integration into data pipelines so that models can reliably operate in an enterprise environment.
Work during the program is organized around end-to-end sprints that mirror production delivery cycles. In these sprints, fellows collaborate with senior mentors and cross-functional stakeholders to scope sprint goals, implement features, validate model behavior, and prepare artifacts required for deployment. The sprint-based approach emphasizes iterative progress: prototypes are assessed, improvements are prioritized, and deliverables move progressively toward deployability.
Documentation and scalability are explicit responsibilities. Fellows document design choices, model behavior, and pipeline configuration to ensure solutions are maintainable and scalable. Under senior mentorship, documentation is not only a record of work but a checklist for handoff and future extensions. This disciplined documentation supports enterprise adoption by clarifying how models interact with automation frameworks and data pipelines.
The practical focus remains on deliverable outcomes: converting experimental prototypes into production-ready assets, ensuring models function within automation frameworks and pipelines, and participating in sprint cycles that simulate real-world deployment timelines. The fellowship therefore combines hands-on engineering with process-oriented delivery to produce deployable AI solutions for enterprise use.
Eligibility, Stipend, and Expected Outcomes
The program offers a stipend of 55,000 INR/month for the 6-month engagement. While the standard term is full-time for approximately 5–6 months, the program may extend up to 12 months in some cases depending on project needs and progress. This flexibility allows promising prototypes to be fully matured under continued mentorship if required.
Candidate expectations focus on practical familiarity and prior hands-on experience. Applicants should have experience with AI tools such as ChatGPT, LangChain, Hugging Face, etc., indicating comfort working with modern model interfaces and frameworks. Basic coding skills are required, with Python preferred, to enable direct participation in model development, pipeline integration, and automation tasks. Prior involvement in prototypes or hackathons is also expected, demonstrating an ability to move from idea to working proof-of-concept.
Under senior mentorship, fellows are expected to produce documented, scalable solutions that can be evaluated by enterprise stakeholders. The combination of tool familiarity, coding ability, and prototype experience positions candidates to take full advantage of the program’s mission: to build deployable AI solutions for enterprise use. The stipend and potential program extension provide financial and time resources to focus on delivering production-ready models, participating in end-to-end sprints, and ensuring that final outputs are well-documented and integrable into enterprise automation and data infrastructure.
Conclusion
This 6-month, full-time AI Fellowship/Internship offers a structured opportunity to convert prototypes into production-ready models, work with LLMs, automation frameworks, and data pipelines, and participate in end-to-end sprints under senior mentorship. With a stipend of 55,000 INR/month and possible extension up to 12 months, candidates familiar with tools like ChatGPT, LangChain, and Hugging Face, who have basic Python skills and prototype or hackathon experience, are well-suited to apply and gain production-focused experience.
