Overview
As a Data Science AI Engineer specializing in RAG Chatbot and LangGraph, you will play a pivotal role in enhancing our AI capabilities within a globally recognized B2B organization. Collaborating with product managers, engineers, and fellow data scientists, you will design and deploy AI solutions that optimize product quality and streamline complex workflows. This role offers the opportunity to participate in the entire data science lifecycle, including exploration, modeling, experimentation, and deployment.
Responsibilities
- Build and deploy chatbots, MCP Servers, and agentic models for SaaS platforms.
- Collaborate with product and engineering teams to productionize models and pipelines.
- Contribute high-quality code to GitHub-based workflows and engage in peer review processes.
- Validate model performance and uphold high standards for data and model accuracy.
- Communicate insights and technical solutions clearly to both technical and non-technical stakeholders.
- Prototype new features and explore innovative ideas autonomously.
Requirements
- Strong proficiency in Python and SQL, with the ability to write clean, maintainable code.
- Experience in building chatbots powered by RAG pipelines.
- Familiarity with LangGraph for developing agentic frameworks.
- Proficient in handling large, real-world datasets.
- Experience with cloud environments such as AWS, GCP, or Azure.
- Experience in collaborative software environments using Git.
- Exposure to recommendation systems or time-series forecasting is preferred.
- A Masters or higher in a quantitative discipline such as Statistics, Maths, Computer Science, or Economics is expected.