Articles about MetLife

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.

Design and deliver production-grade AI/ML solutions on an enterprise AI platform. Collaborate with product and platform teams, provide architecture and design guidance, ensure quality, observability, and responsible AI compliance, and mentor junior engineers.