Description
You will develop and support GenAI solutions primarily focused on contact center bots.
Responsibilities
- Design LLM solutions aligned with approved RAG patterns and implement efficient chunking and indexing strategies.
- Develop and deploy inference APIs using Langchain to Azure Kubernetes Service (AKS) or function apps.
- Drive data requirement conversations with product owners and the data office to secure necessary datasets.
- Monitor production bot performance via user feedback to continuously improve response quality.
- Collaborate with UI teams to support front-end integration and contribute to a reusable GenAI codebase.
Required Skills
- 5+ years of experience solving high-impact business problems using Machine Learning and LLMs.
- Proven experience as an ML Engineer focusing on generative AI, prompt engineering, and RAG applications.
- Hands-on experience with Azure OpenAI, Azure AI Search, Langchain, and vector stores.
- Proficiency in Python and PySpark, preferably using Databricks or Azure ML.
- Experience productionizing code through DevOps pipelines using Git and Jenkins.
- Ability to support and improve production applications post-development.
- Strong software development skills and adherence to MLOps and coding best practices.
Preferred Skills
- Experience with open-source LLMs.
- Basic knowledge of React or equivalent UI frameworks.