Description
You will develop and support GenAI solutions primarily focused on contact center bots.
Responsibilities
- Translate GenAI use case requirements into technical solutions by working with product owners and design teams.
- Design efficient chunking and indexing strategies to support RAG-based answer generation.
- Develop and deploy inference APIs using LangChain to AKS or Azure Function Apps.
- Monitor production bot performance and improve response quality based on user feedback.
- Collaborate with the UI team to support front-end integration and contribute to a reusable GenAI codebase.
Required Skills
- 5+ years of experience solving business problems using Machine Learning and LLMs.
- Proven experience as an ML Engineer specializing in generative AI, prompt engineering, and RAG applications.
- Hands-on experience with Azure OpenAI, Azure AI Search, LangChain, and vector stores.
- Proficiency in Python, PySpark, and Databricks Azure ML.
- Experience productionizing code via DevOps pipelines including Git, Jenkins, and code scanning.
- Experience supporting and improving production applications post-deployment.
- Ability to drive data requirement conversations with data offices.
Preferred Skills
- Experience with open-source LLMs.
- Basic knowledge of React or equivalent UI frameworks.