AI Engineering Innovator

6 days ago


dombivli, India beBeeArtificial Full time

Role: AI Engineer Intern (Full-time Internship, Remote)We are seeking an innovative and skilled AI Engineer to push the boundaries of Large Language Models (LLMs) 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 Natural Language Processing (NLP) techniques.The successful candidate will have a strong foundation in software development and NLP techniques including regular expressions spaCy NLTK alongside LLMs. They will be responsible for crafting and refining high-quality prompts for different use cases and models with business synonyms and different phrasing breaking down complex tasks into smaller subtasks and building effective multi-step prompt workflows summarization critique rewrite.Prompt Crafting: Design edit and refine prompts for different use cases and models with business synonyms and different phrasingPrompt Chaining: Break down complex tasks into smaller subtasks and build effective multi-step prompt workflows summarization critique rewriteBenchmarking & Evaluation: Use Python scripts and notebooks to run automated performance benchmarks based on Key Performance Indicators (KPIs) like accuracy cost and latencyFeature Building: Write Python scaffolding to integrate LLM calls into usable product features and pipelinesHybrid NLP: Utilize traditional NLP techniques regex spaCy NLTK alongside LLMs to improve output quality preprocessing or efficiencyIterative Improvement: Run A/B tests gather output samples and tweak prompts or logic based on failure cases and edge conditionsKPI Optimization: Ensure prompt chains and model outputs meet goals like quality relevance length and compute costModel Awareness: Stay updated with the latest in GPT Claude Gemini and open-source LLMsTooling & Automation: Build or use lightweight tooling for prompt testing logging and result comparisonDocumentation: Maintain a structured prompt and workflow logbook with evaluations learnings and architecture


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