Filling the google form mentioned below is mandatory. Please go to how to apply section and fill up the form.
About Purple Merit
At Purple Merit, we are pioneering the future of autonomous multi-agent AI systems. Our mission is to empower enterprises with intelligent, self-directed, and context-driven AI agents that can reason, plan, and execute complex tasks with precision and reliability. We foster a culture of innovation, continuous learning, and ownership giving you the freedom and support to push boundaries and build transformative AI technologies.
Here, your work powers real change fueling business process transformation on a global scale and you’ll have unmatched freedom to innovate, propose research, and see your ideas come to life in production environments. We’re passionate about nurturing AI leaders who thrive on solving real-world enterprise challenges using generative AI and multi-agent frameworks.
Role Overview
As an AI/ML Engineer Intern at PurpleMerit, you will design and implement intelligent agents, build RAG pipelines, develop MCP servers for enterprise data, and work on real-world, production-grade agentic AI projects. You’ll gain hands-on experience with advanced frameworks, scalable deployments, and cross-functional collaboration shaping the future of autonomous intelligence.
Key Responsibilities
- 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).
Required Skills & Qualifications
- 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).
Internship & Full Time Salary Structure
- 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.
Things to Keep in Mind
- 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.
How to Apply
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/RLF1CpHk16V1nWQH9
The 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.
