ML Engineer Intern - Peakflo | Transforming Finance Operations

Salary

Not Disclosed

Location

Hyderabad

Highlights

Build autonomous agents, optimize workflows, contribute to new AI design patterns.

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Description

Join our dynamic team at CAW Studios as an AI Engineer, where you'll have the opportunity to build and optimize autonomous agents using advanced frameworks like LangChain, LangGraph, and RAG pipelines. You’ll develop robust FastAPI endpoints that expose agent functionalities, contributing to groundbreaking innovations in generative AI and large language models (LLMs).

Responsibilities:

• AI Agent Development: Build autonomous agents using LangChain and similar frameworks.
• RAG Pipeline Design: Develop Retrieval-Augmented Generation pipelines with vector databases like FAISS, Pinecone, or ChromaDB.
• API Integration: Create FastAPI endpoints to expose agent functionality for seamless integration into various applications.
• Model Context Protocol Implementation: Implement the Model Context Protocol (MCP) for tool-agent integrations, enhancing user experience and efficiency.
• Optimization: Optimize prompts, workflows, and retrieval strategies to ensure real-world performance gains.

Requirements:

• Exposure to AI/ML projects (beginner to advanced).
• Proficiency in Python with a strong track record of AI/ML experiments or projects.
• Familiarity with frameworks such as LangChain, HuggingFace, PyTorch/TensorFlow, and RAG pipelines.
• Ability to build and showcase working prototypes or production-ready components.
• A hands-on approach with a keen interest in growing your expertise in generative AI, LLMs, and agent-based systems.

Bonus Points:

• Leverage advanced techniques like LoRA, QLoRA, or memory systems for fine-tuning large language models.
• Experience with AutoGen, CrewAI, MCP, or other agent frameworks is a plus.
• Familiarity with Docker and asynchronous programming for API integrations.

Skills

LangChain Python FastAPI RAG-Pipelines MCP