Design and deploy autonomous multi-agent systems with dynamic task management, reasoning, and A2A communication.
Build RAG pipelines, agent memory systems, and context engineering solutions for domain-specific use cases.
Develop workflows using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, n8n, and related orchestration tools to build modular and scalable AI agents.
Integrate generative AI frameworks
Design and develop agentic AI systems with autonomous task execution capabilities.
Integrate Large Language Models (LLMs) with reasoning, planning, and interaction frameworks.
Implement Retrieval-Augmented Generation (RAG) architectures using vector databases
Build and manage MCP servers/clients with JSON-RPC 2.0, HTTP, WebSocket, and other transport layers.
Fine-tune LLMs/SLMs with LoRA, quantization, and tokenizer customization.
Work with databases (SQL/NoSQL, FAISS, Pinecone) and data analysis libraries (NumPy, Pandas, Seaborn, Plotly).
Strong Python development skills with scalable, testable code practices.
RAG Architecture: Deep understanding of retrieval-based generation pipelines.
Deployment: Experience deploying applications on cloud platforms (AWS, Azure, GCP) or containerized environments.
Experience or interest in MLOps (MLflow, W&B), containerization (Docker), and orchestration (Kubernetes).
Duration: 4 months internship (remote)
Stipend: ₹8,000 per month during internship
Conversion: Upon successful internship completion, full-time salary range of ₹3 LPA to ₹9 LPA will be offered based on performance, leadership, and technical skills demonstrated.
Note: There is no direct full-time hiring; only internship-to-full-time conversion is available.
Fixed work hours: Monday to Saturday, 9:00 AM – 6:30 PM IST.
Freelancing or other external paid work during the internship is prohibited and may lead to termination.
Strong remote communication skills and experience working in distributed teams are essential.
Completion of the full 5-month internship is mandatory for consideration for full-time roles.
Only candidates willing to commit fully to the internship duration and motivated by the role should apply. To be considered, please:
Fill out the application form
https://forms.gle/RLF1CpHk16V1nWQH9The link is cannot be accessed from here. Please copy and paste the link in your browser and fill the form. Filling the google form is mandatory. Only those applications will be considered. Submit your updated resume and any relevant portfolio or GitHub links on the application form only..
Incomplete applications or direct contacts without form submission will not be considered.
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