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 Intern 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 ?
• Year of Graduation

Work Location: In person