AI Agent Development - Internship (WFH & Part Time)

About the internship:Selected intern's day-to-day responsibilities include:

1. Develop and improve AI-powered agents for The CarePal's elderly care and home healthcare solutions.

2. Build, test, and optimize LLM-based applications using Python, LangChain, and prompt engineering.

3. Design effective prompts, workflows, and agentic systems for healthcare-related use cases.

4. Evaluate LLM responses for accuracy, relevance, reliability, and safety, and continuously improve model performance.

5. Integrate AI agents with REST APIs, databases, and backend services.

Work with MS SQL Server and SQL to manage and retrieve application data.

6. Implement and optimize vector search/RAG systems for retrieving relevant information from healthcare and CarePal knowledge bases.

7. Research and experiment with new AI/ML techniques, tools, and models to enhance Research's products.

8. Collaborate with the product, technology, and healthcare teams to convert real-world care requirements into practical AI solutions.

9. Debug, document, and maintain AI applications while ensuring scalability, performance, and reliability.

10. Contribute to the development of AI features that improve patient support, elderly care coordination, caregiver assistance, and customer experience. Who can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 11th Sep'26 and 16th Oct'26are available for duration of 3 monthshave relevant skills and interestsStipend:INR₹ 5,000 - 6,500 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hours, 5 days a weekSkills required:Python, SQL, MS SQL Server, REST API, Artificial intelligence, Vector Dynamics, LangChain, Prompt Engineering and LLM evaluationOther Requirements:1. Strong interest in Artificial Intelligence, Generative AI, and AI Agent development.2. Good understanding of Python, LLMs, Prompt Engineering, and LangChain.Familiarity with RAG, vector databases/search, embeddings, and AI evaluation is preferred.3. Experience working with REST APIs, SQL, and MS SQL Server is an advantage.Candidates who have built AI agents, chatbots, RAG systems, or LLM-based projects will be preferred.4. Strong problem-solving and analytical skills with a willingness to experiment and learn new AI technologies.5. Ability to work independently as well as collaborate with product and technology teams.6. Passion for building real-world AI solutions, particularly in healthcare, elderly care, or customer-support use cases.7. Candidates available for a hands-on, startup environment and willing to take ownership of projects will be preferred.About Company:We are a health-tech company dedicated to helping millions by providing certified nurses for individuals suffering from chronic diseases and in need of companionship.Additional information:

Stipend Structure:

Fixed pay: ₹ 4,000 - 5,000 /month

Incentive pay: ₹ 1,000 - 1,500 /month

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Develop and improve AI-powered agents for The CarePal's elderly care and home healthcare solutions.

2. Build, test, and optimize LLM-based applications using Python, LangChain, and prompt engineering.

3. Design effective prompts, workflows, and agentic systems for healthcare-related use cases.

4. Evaluate LLM responses for accuracy, relevance, reliability, and safety, and continuously improve model performance.

5. Integrate AI agents with REST APIs, databases, and backend services.

Work with MS SQL Server and SQL to manage and retrieve application data.

6. Implement and optimize vector search/RAG systems for retrieving relevant information from healthcare and CarePal knowledge bases.

7. Research and experiment with new AI/ML techniques, tools, and models to enhance Research's products.

8. Collaborate with the product, technology, and healthcare teams to convert real-world care requirements into practical AI solutions.

9. Debug, document, and maintain AI applications while ensuring scalability, performance, and reliability.

10. Contribute to the development of AI features that improve patient support, elderly care coordination, caregiver assistance, and customer experience.