Applied AI Research Intern

Role : AI Engineer Intern (Full-time Internship, Remote)

This is a remote full-time paid internship for an AI Engineer. You will help us push the boundaries of what LLMs can do by designing, testing, and optimizing prompts, building multi-step prompt pipelines, writing scaffolding code around LLM calls, benchmarking outputs, and integrating AI features into real-world products using Python and NLP techniques.

Responsibilities

• Prompt Crafting : Design, edit, and refine prompts for different use cases and models.
• Prompt Chaining : Break down complex tasks into smaller subtasks and build effective multi-step prompt workflows (e.G., summarization → critique → rewrite).
• Benchmarking & Evaluation : Use Python (scripts and notebooks) to run automated performance benchmarks based on KPIs like accuracy, cost, and latency.
• Feature Building : Write Python scaffolding to integrate LLM calls into usable product features and pipelines.
• Hybrid NLP : Use traditional NLP techniques (e.G., regex, spaCy, NLTK) alongside LLMs to improve output quality, preprocessing, or efficiency.
• Iterative Improvement : Run A / B tests, gather output samples, and tweak prompts or logic based on failure cases and edge conditions.
• KPI Optimization : Ensure prompt chains and model outputs meet goals like quality, relevance, length, and compute cost.
• Model Awareness : Stay updated with the latest in GPT, Claude, Gemini, and open-source LLMs.
• Tooling & Automation : Build or use lightweight tooling for prompt testing, logging, and result comparison.
• Documentation : Maintain a structured prompt and workflow logbook with evaluations, learnings, and architecture.

Salary : Rs.30,000 / month

Duration : 6 months

Must-Have Qualifications

Nice-to-Have

Ideal For