AI Engineer - Internship

1\. Generative AI Applications

-Assist in building and maintaining LLM-powered features such as chat interfaces, assistants, and analytical tools.

-Work closely with engineers to translate product requirements into reliable AI workflows.

2\. Prompt Engineering & Optimization

-Design, test, and refine high-quality prompts to improve accuracy, reasoning, consistency, and safety.

-Experiment with prompting techniques such as: Few-shot examples, Structured / schema-based prompts, Instruction tuning & role prompting and Tool-calling and function-based prompts

-Analyze model outputs and iterate on prompts based on real user data and evaluation results.

3.RAG (Retrieval-Augmented Generation) Pipelines

-Build and optimize RAG pipelines for knowledge-based question answering and decision support systems.

-Improve retrieval quality using: Chunking strategies, Embedding selection, Metadata filtering and reranking

-Work with vector databases to enable fast and accurate semantic search.

4\. AI Agents & Workflows

-Support the development of AI agents capable of multi-step reasoning, tool usage, and autonomous task execution.

-Help design agent prompts, memory handling, and decision logic.

5\. Evaluation & Reliability

-Design and run evaluations to measure prompt quality, retrieval accuracy, hallucination rates, and overall system reliability.

-Compare different prompts, embeddings, and pipelines using both automated metrics and human review.

6\. Data Preparation

-Process and prepare structured and unstructured data (documents, emails, policies, APIs, logs) for LLM and RAG usage.

-Assist with data cleaning, chunking, and annotation workflows.