Role: AI Engineer (Internship)
Year: 2026
Qualification: Bachelors
Experience (years): 0
Job description:
1. Work across AI automation, full-stack development, and AI/ML tasks based on project requirements and individual core strengths.
2. Build automation workflows using Make.com and n8n for end-to-end system integration.
3. Integrate APIs including CRMs, email systems, WhatsApp platforms, and advertising tools into automated workflows.
4. Develop and maintain web applications using React for frontend development and FastAPI or Node.js for backend systems.
5. Manage and work with databases such as PostgreSQL and MongoDB.
6. Build, integrate, and deploy LLM-based solutions including chatbots, RAG pipelines, and AI agents.
7. Utilize OpenAI, Claude APIs, and LangChain for AI-driven product development.
8. Work with Python for AI/ML tasks including prompt engineering, fine-tuning, and model integration.
9. Deploy projects on cloud platforms such as Vercel, AWS, and GCP.
10. Debug technical issues and maintain clean, well-documented codebases.
11. Research emerging AI tools and recommend suitable solutions for client and internal use cases.
• are available for full time (in-office) internship
• can start the internship between 28th May'26 and 2nd Jul'26
• are available for duration of 4 months
• have relevant skills and interests
• are Computer Science Engineering students
Python, SQL, Machine Learning, Neural Networks, Deep Learning, Artificial intelligence, APIs and Vibe Coding
• 1. Strong expertise in at least one area such as AI automation using Make.com or n8n, full-stack development with React and backend technologies, or AI/ML using Python, LLMs, and RAG systems is preferred.
• 2. Willingness to learn and work across multiple technical domains is important.
• 3. Hands-on experience with APIs, webhooks, and JSON is desirable.
• 4. A portfolio or GitHub profile showcasing real-world projects will be strongly preferred.
• 5. Familiarity with AI tools such as ChatGPT, Claude, and LangChain is valued.
• 6. A fast-execution and builder-oriented mindset is appreciated.
Technical skills: Python, APIs, ML, n8n, React, SQL, AWS/Azure, RAG, LLMs, Github, LangChain
Soft skills: Communication, Problem Solving