Tata CLiQ is the flagship digital commerce initiative of the Tata Group. It is a multi-category e-commerce platform, operating across categories such as Fashion, Footwear and Accessories, Beauty, and Luxury. It has a unique omnichannel marketplace model offering customers the convenience of quicker delivery (by shipping from store), easy pick-up and returns, across 1,200+ brands and 1,000 stores in 100+ Indian towns and cities.
At CLiQ:
- We obsess over customer delight.
- We are out there to find an alternate way of doing e-commerce.
- We carry an attitude to develop a culture of learning and continuous improvement, both for people and processes.
- We believe in Uncomfortable Transparency.
- We will always be respectful, empathetic, and caring about the well-being of our teams.
- we encourage experiments and creativity in Technology.
- We develop and use technology to enhance day-to-day life and have a positive impact on customers.
- We encourage experiments and creativity in Technology.
We are committed to strengthening diversity, equity, and inclusion at the workplace through an enabling environment, supportive work-life policies for employees, and a culture that welcomes differences and creates a sense of belonging. We strive to create a work environment where all employees can develop and grow to achieve their full potential. We are an equal opportunity employer and are committed to maintaining respect and dignity for all”
Position Title: AI Prompt Engineer Intern
Department: Artificial Intelligence/Technology
Location: Mumbai and Bangalore
Duration: 3-6 months Immediate Joiner
Overview
As an AI Prompt Engineer Intern at Tata CLiQ, you will play a critical role in enhancing the interaction between customers and our AI-driven solutions, including chatbots, recommendation systems, and other conversational agents. You will focus on refining prompts to deliver superior, context-aware responses that align with the high standards expected in the luxury retail segment.
You will work on developing, testing, and fine-tuning prompts for various AI models, including LLMs like OpenAI’s GPT, to improve output quality, accuracy, and efficiency. You will collaborate with cross-functional teams to understand application needs and create effective prompt solutions.
Key Responsibilities
- Prompt Development: Design, experiment, and iterate on prompts to optimize the performance of AI models across diverse use cases.
- Model Understanding: Study the behaviour and limitations of AI models to design effective prompts for achieving desired outcomes.
- Research & Experimentation: Analyze prompt effectiveness and conduct A/B testing to measure and improve response quality.
- Collaboration: Work closely with developers, data scientists, and product teams to align prompts with application requirements and business goals.
- Documentation: Maintain thorough documentation of prompt structures, iterations, and outcomes for knowledge sharing and reproducibility.
- Learning & Innovation: Stay updated on the latest advancements in AI, NLP, and prompt engineering techniques.
- Customer Focus: Assist in creating user-friendly prompts tailored to specific applications such as chatbots, customer service agents, or content generation tools.
Qualifications
Required:
- Pursuing a degree in Computer Science, Data Science, AI, or a related field.
- Strong analytical and problem-solving skills.
- Proficiency in Python or another programming language.
- Familiarity with large language models like OpenAI GPT, Google Bard, or similar.
- Passionfor AI, NLP, and emerging technologies.
Preferred:
- Experience with prompt engineering, fine-tuning, or working with APIs for LLMs.
- Knowledge of machine learning concepts and model evaluation techniques.
- Strong verbal and written communication skills.
- Ability to work in a fast-paced, collaborative environment.
What We Offer
- Mentorship from AI experts and leaders in the field.
- Hands-on experience with state-of-the-art AI technologies.
- Opportunity to work on real-world projects and make a tangible impact.
- Stipend and/or academic credit (as applicable).
- A collaborative and innovative work environment.
