Teams at MetLife

Early-career software engineer working on Python-based components for enterprise AI use cases. Support AI/ML workflows, RAG pipelines, embeddings, vector retrieval, and API integration. Collaborate with senior engineers on testing, debugging, documentation, deployment, and apply cloud and software engineering best practices under mentorship.

Design, implement, and deploy production-ready AI/ML use cases using an enterprise AI platform and Azure AI services. Collaborate with product, architecture, and platform teams to build microservice-based solutions (LLMs, RAG, vector search). Ensure reliability, observability, and responsible AI standards; contribute to code, testing, documentation, and mentor junior engineers.

Early-career software engineer developing Python components for AI use cases. Support data preparation, model integration, RAG pipelines (LLMs, embeddings, vector retrieval), API consumption, testing, debugging, documentation, and deployment while learning cloud and software engineering best practices under senior mentorship.