AI Engineering Professional

2 weeks ago

palakkad, India beBeeArtificial Full time

Job OpportunityThis is a remote full-time internship in the field of Artificial Intelligence Engineering.Prompt Crafting: Design, refine and edit prompts for various 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 logbook with evaluations, learnings, and architecture.About the RoleAs an AI Engineer Intern, you will help us push the boundaries of what Large Language Models 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.Key ResponsibilitiesWe are looking for someone who can craft compelling prompts, design efficient workflow systems, optimize performance metrics, and stay up-to-date with the latest developments in the field of AI.BenefitsThis is a great opportunity to gain hands-on experience in the field of AI Engineering, work with cutting-edge technologies, and contribute to the development of innovative AI solutions.

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