Senior AI/ML Engineer

Design and optimize AI-powered search and retrieval architectures for enterprise applications.

- Build and enhance Retrieval-Augmented Generation (RAG) systems leveraging Large Language Models.

- Configure, customize, and optimize SearchAI platforms including Kore.ai SearchAI where applicable.

- Develop content ingestion frameworks for structured and unstructured enterprise data sources.

- Design effective chunking strategies to maximize retrieval quality and response accuracy.

- Improve semantic search capabilities using embeddings, vector search, and ranking optimization techniques.

- Perform retrieval quality testing, relevance evaluation, and search performance benchmarking.

- Troubleshoot indexing, retrieval, ranking, and content ingestion issues.

- Analyze user search behavior and optimize search relevance using data-driven methodologies.

- Collaborate with AI/ML, Data Engineering, Product, and Business teams to deliver scalable AI search solutions.

- Support migration initiatives from legacy search platforms to modern AI-powered search systems.

- Implement monitoring and evaluation frameworks for retrieval accuracy and response quality.

- Contribute to AI governance, content validation, and responsible AI practices.

- Explore and implement Agentic AI workflows and autonomous retrieval capabilities.