Visionary AI Engineering Professional

1 day ago


hubballi, India beBeeArtificialIntelligence Full time

Job OverviewA full-time remote internship opportunity is available for an AI Engineer Intern to contribute to the development of robust, high-performing AI workflows and features.This six-month internship will provide hands-on experience in 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.ResponsibilitiesPrompt Crafting: Design, edit, and refine prompts for different use cases and models to improve output quality and efficiency.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: Utilize traditional NLP techniques (e.g., regex, spaCy, NLTK) alongside LLMs to enhance 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 developments in GPT, Claude, Gemini, and open-source LLMs.Tooling & Automation: Develop or leverage lightweight tooling for prompt testing, logging, and result comparison.Documentation: Maintain a structured prompt and workflow logbook with evaluations, learnings, and architecture.RequirementsStrong background in Python scripting and automation.Experience using OpenAI or other LLM APIs.Ability to build small-scale tools or workflows that integrate and manage prompt-based logic.Familiarity with Jupyter/Colab for fast prototyping.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.).About the OpportunityThis internship is ideal for final-year students or recent graduates looking to develop real-world AI engineering, prompt design, and hybrid NLP-LLM skills. The successful candidate will work closely with founders to deliver high-quality results and contribute to the development of cutting-edge AI technologies.



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