AI Intern

**About ARCHLE Labs** ARCHLE Labs – Advanced Research Centre for Health And Life Science Engineering is a health-tech R\&D startup based in Bangalore. Our team comprises experienced healthcare professionals and entrepreneurs passionate about making a difference in the world. **“Our mission is to drive innovations to solve complex medical challenges and enhance human well-being.”** Our commitment lies in harnessing the power of science and engineering to create tangible solutions that empower the health of individuals and communities worldwide. **Role Description** We are looking for a highly motivated AI/ML Engineer to join our Research \& Development team. In this role, you will work on cutting-edge Generative AI, NLP, and machine learning applications focused on solving real-world healthcare and life science challenges. You will be responsible for designing, developing, and deploying intelligent AI systems using modern LLM frameworks, RAG pipelines, and deep learning technologies. This is a high-impact opportunity to work closely with the CEO and leadership team in a fast-paced startup environment where innovation and ownership are highly valued. If you are passionate about artificial intelligence, large language models, and building meaningful AI-driven healthcare solutions, we’d love to meet you. **Key Responsibilities** * Develop and deploy AI/ML applications using Python * Build and optimize NLP and Generative AI workflows * Design and implement RAG (Retrieval-Augmented Generation) pipelines * Work with vector databases and embedding models * Develop AI agents and workflows using LangChain and LangGraph * Build scalable APIs and backend services using FastAPI * Perform prompt engineering and optimize LLM performance * Work with Hugging Face models, transformers, and open-source AI frameworks * Research, test, and evaluate new AI/ML technologies and advancements * Assist in fine-tuning and optimizing deep learning/LLM models * Collaborate with cross-functional teams to integrate AI solutions into products * Participate in end-to-end model deployment and monitoring * Maintain technical documentation and development workflows * Work closely with leadership on AI product strategy and innovation **Requirements** * Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field * 0-1 years of experience * Strong proficiency in Python and AI/ML application development * Hands-on experience with NLP and LLM workflows * Practical experience with LangChain, LangGraph, and FastAPI * Good understanding of RAG pipelines and vector embeddings * Knowledge of prompt engineering techniques * Familiarity with Hugging Face ecosystem and transformer architectures * Understanding of machine learning algorithms and deep learning fundamentals * Basic experience with fine-tuning deep learning or LLM models * Strong problem-solving and analytical skills * Ability to work effectively in a fast-paced startup environment * Strong communication and collaboration skills * Passion for learning, research, and staying updated with advancements in AI and machine learning **Nice to Have (Optional)** * Experience with AWS EC2 and SageMaker * Exposure to Microsoft Azure * Knowledge of GraphRAG architectures * Experience working with PostgreSQL * End-to-end AI model deployment experience * Experience building scalable production AI systems * Exposure to healthcare AI applications or health-tech products * Experience working in startup or R\&D environments **What We Offer Here** * Competitive salary and benefits package * Potential ESOP grants based on performance and tenure * Opportunity to work closely with founders, CEO, and leadership team * High ownership role with significant growth potential * Collaborative and innovative work environment * Professional development and research opportunities * Opportunity to work on cutting-edge AI and healthcare technologies * The chance to make a significant impact on healthcare innovation Application Question(s): * We are looking for immediate recruitment, will you be able to join us immediately ? Work Location: In person