This internship opportunity focuses on practical involvement with Large Language Models (LLMs) and AI-driven solutions, combining technical development, content creation, and operational support. Candidates will work on tasks that include development, fine-tuning, and deployment of LLMs such as Ollama, OpenAI, Claude, and Gemini, while collaborating with a team to optimise AI capabilities for diverse applications. The role also involves developing marketing and social media content using AI, participating in brainstorming sessions to enhance AI agent functionality, and supporting infrastructure monitoring to maintain availability and performance. Eligible applicants should be pursuing or recently completed degrees in relevant fields and available full-time at the Noida or Pune office.
Working with Large Language Models: Development and Deployment
Core Responsibilities with LLMs
The role requires active participation in the development, fine-tuning, and deployment of Large Language Models. Candidates will assist with tasks across the model lifecycle, concentrating on applied work with platforms explicitly mentioned, including Ollama, OpenAI, Claude, and Gemini. The emphasis is on hands-on engagement rather than purely theoretical study.
Practical Focus Areas
- Prompt engineering and iterative refinement to improve model responses.
- Model integration and customisation to suit application needs.
- Deployment activities to make models available for use within projects.
Participants are expected to contribute to these areas in collaboration with the team, aligning technical work with project goals. The responsibilities highlight both the technical work of model handling and the collaborative nature of implementation efforts.
Assist in the development, fine-tuning, and deployment of Large Language Models (LLMs) such as Ollama, OpenAI, Claude, Gemini, and similar platforms.
Creating AI-Driven Content for Marketing and Social Media
Role in Content Production
A significant part of the role involves developing engaging and relevant content tailored for marketing campaigns and social media publishing, leveraging AI capabilities. Candidates should apply their understanding of LLMs and prompt engineering to produce content that meets marketing objectives and resonates with target audiences.
Skills Applied to Marketing and Branding
- Using LLM outputs to draft campaign copy and social posts.
- Adapting tone and messaging to align with branding needs.
- Iterating on content through collaborative feedback and AI fine-tuning.
Exposure to developing content for marketing, branding, and social media platforms is listed as a relevant skill, indicating the role values both creative and technical contributions. Team collaboration ensures that content aligns with campaign strategies and user expectations.
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Monitoring Infrastructure and Ensuring Performance
Operational Support Responsibilities
Supporting the monitoring and maintenance of infrastructure is an explicit responsibility, aimed at ensuring high availability and performance of AI systems. This involves routine attention to system health and responsiveness to maintain consistent service for AI-driven applications.
Relevant Skills and Exposure
- Familiarity with infrastructure monitoring tools and methodologies is beneficial.
- Contributions may include assisting with uptime, performance checks, and maintenance tasks.
- Collaborative approaches to resolving operational issues are part of the role.
Prior experience or knowledge in infrastructure monitoring tools and methodologies is noted as an added advantage, reinforcing the operational side of the internship. Teamwork and communication help coordinate monitoring activities and remediation when issues arise.
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Skills, Experience, and Day-to-Day Collaboration
Technical and Interpersonal Skills
The position highlights a blend of technical proficiency and soft skills. Essential technical skills include hands-on experience with LLMs — specifically prompt engineering, model integration, and customisation for platforms such as Ollama, OpenAI, Claude, and Gemini. These practical skills form the foundation for the technical tasks described in the responsibilities.
Analytical and Team Skills
- Strong analytical and problem-solving abilities are required to work through model and infrastructure challenges.
- Good communication skills and the ability to work collaboratively in a team environment are important for day-to-day interactions.
- Self-motivation and a keen interest in learning new technologies are key personal attributes for successful interns.
The combination of these skills supports contributions across model development, content creation, and operational monitoring. The role values individuals who can adapt, learn, and communicate effectively within a team setting.
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Eligibility, Location, and Internship Expectations
Academic and Availability Requirements
Eligibility for the internship is limited to candidates who are pursuing or have recently completed a Bachelor’s or Master’s degree in Computer Science, Information Technology, Electronics, or related fields. Applicants must be available for a full-time internship at the specified office locations.
Location and Commitment
- Full-time internship availability is required.
- Interns must be available to work at the Noida or Pune office.
- Academic background in technical disciplines is a core eligibility criterion.
These eligibility constraints define the candidate pool and emphasize the expectation of in-person, full-time involvement at the Noida or Pune office. The internship is structured to blend technical, creative, and operational experiences within the team environment.
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Frequently Asked Questions
What types of Large Language Models will I work with?
The internship involves work with multiple Large Language Models explicitly named in the responsibilities: Ollama, OpenAI, Claude, and Gemini. Tasks include development, fine-tuning, and deployment activities related to these platforms.
Will I be expected to create marketing and social media content?
Yes. One of the stated responsibilities is to develop engaging and relevant content tailored for marketing campaigns and social media publishing, leveraging AI capabilities and insights gained from working with LLMs.
Is experience with infrastructure monitoring required?
Prior experience or knowledge in infrastructure monitoring tools and methodologies is listed as an added advantage. While not mandatory, such exposure will strengthen your ability to support monitoring and maintenance responsibilities.
What academic qualifications are required to apply?
Eligible candidates should be pursuing or have recently completed a Bachelor’s or Master’s degree in Computer Science, Information Technology, Electronics, or related fields. This academic background aligns with the technical focus of the internship.
Where is the internship based and what is the expected availability?
The internship requires full-time availability and is based at the company’s offices in Noida or Pune. Applicants must be available to work on-site at one of these locations for the duration of the internship.
Conclusion
This internship opportunity blends hands-on LLM work, AI-driven content creation, and infrastructure support within a collaborative team environment. It seeks candidates with practical experience in prompt engineering, model integration, and content development, while valuing analytical thinking, communication, and self-motivated learning. Eligibility focuses on students or recent graduates in relevant technical fields, with the requirement to be available full-time at the Noida or Pune office. The role offers exposure across technical, creative, and operational aspects of AI projects.
