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Artificial Intelligence Engineer Intern

Noether Data Labs · India

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AI Engineer Intern (GenAI & Agentic AI) Remote | Internship (3–6 Months) | Immediate JoiningAbout Noether Data LabsNoether Data Labs is an Enterprise AI company building production-grade AI applications, intelligent automation solutions, and Agentic AI systems across multiple industries. We work at the intersection of Generative AI, LLMs, AI Agents, and modern cloud technologies to solve real-world business problems.We are looking for passionate AI engineers who enjoy building products, experimenting with new technologies, and shipping solutions to production.What You’ll Work On· Building AI-powered applications and intelligent assistants· Designing and implementing Retrieval-Augmented Generation (RAG) systems· Developing AI agents and workflow automation· Integrating LLMs into production systems· Building APIs and backend services· Working with vector databases and semantic search· Experimenting with state-of-the-art GenAI techniques and frameworksResponsibilities· Design and develop AI applications using modern LLM frameworks.· Build and optimize RAG pipelines and knowledge retrieval systems.· Develop backend APIs and AI services.· Work on prompt engineering, evaluation, and model optimization.· Build integrations with third-party APIs and enterprise systems.· Collaborate with founders and engineers to design and ship AI products.· Participate in architecture discussions and technical problem-solving.Required Skills· Strong programming skills in Python.· Good understanding of LLMs and Generative AI concepts.· Familiarity with LangChain, LangGraph, Semantic Kernel, or similar frameworks.· Understanding of RAG, embeddings, and vector databases.· Experience with REST APIs and backend development.· Strong debugging and problem-solving skills.· Ability to learn quickly and work independently.Good to Have· Experience with OpenAI, Anthropic, or open-source LLMs.· Experience with FastAPI, PostgreSQL, Supabase, or MongoDB.· Knowledge of React, Next.js, or full-stack development.· Experience building AI agents or automation workflows.· Familiarity with AWS, Azure, or GCP.Tech StackPython