Prompt Engineering Intern
Location
100% remote
Job Type
Internship
Experience Level
Entry-Level
Salary Range
Not disclosed
Job Description
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 Experience using OpenAI or other LLM APIs. Ability to build small-scale tools or workflows that integrate and manage prompt-based logic. Understanding of prompt chaining or multi-step reasoning with LLMs. Awareness of basic NLP techniques and when to combine them with LLM outputs. Comfort with debugging and improving outputs using test inputs and edge cases. Strong communication and analytical skills. Familiarity with basic evaluation techniques (BLEU, ROUGE, token count, etc.). Nice-to-Have LangChain or similar framework experience. Experience working with vector DBs, RAG pipelines. Experience with Jupyter notebooks. Knowledge of managing context windows, formatting outputs, or chaining across models.
About Quickhyre AI
QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.
Connections
Sai Charan
Senior Developer
Kalpana Sharma
Team Lead
Rahul Patel
Full Stack Developer
Priya Singh
Frontend Developer
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