Location
Mumbai
Salary
₹50,000 - ₹60,000/month
Posted
17d ago
Applicants
22
About the role
Mactores is hiring Gen AI Engineering Interns to build AI-powered applications using agentic workflows, Retrieval-Augmented Generation (RAG), and cloud technologies. The internship includes a PPO opportunity for high performers.
Responsibilities
- Develop Generative AI applications
- Build agentic AI workflows
- Work with RAG pipelines and embeddings
- Implement cloud-native AI solutions
- Follow test-driven development practices
- Collaborate with engineering teams on AI projects
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field
- Strong Python fundamentals and basic TypeScript knowledge
- Interest in agentic AI, retrieval, planning, and evaluation
- Basic understanding of cloud concepts
- Exposure to AWS through coursework, certifications, or personal projects is a plus
- Willingness to follow test-driven development practices
Benefits
- ₹50,000 - ₹60,000 monthly stipend
- PPO opportunity
- Work on cutting-edge Generative AI projects
- Hands-on exposure to LangGraph, CrewAI, RAG, and AWS
Required Skills
PythonTypeScriptGenerative AILLMsLangGraphCrewAIRAGEmbeddingsPrompt EngineeringAWSCloud ComputingAgentic AITest Driven Development
Frequently Asked Questions
What is the salary for Gen AI Engineering Intern (+PPO)?
The listed salary for Gen AI Engineering Intern (+PPO) at Mactores is ₹50,000 - ₹60,000/month.
Where is this Gen AI Engineering Intern (+PPO) role located?
This position is based in Mumbai (On-site).
What experience is required for Gen AI Engineering Intern (+PPO)?
Candidates are expected to have Freshers of experience for this role.
How do I apply for Gen AI Engineering Intern (+PPO) at Mactores?
Apply directly through the application link on this HireDoor job page for Gen AI Engineering Intern (+PPO) at Mactores.
What are the key benefits for Gen AI Engineering Intern (+PPO)?
Key benefits include: ₹50,000 - ₹60,000 monthly stipend; PPO opportunity; Work on cutting-edge Generative AI projects; Hands-on exposure to LangGraph, CrewAI, RAG, and AWS.