About the Role
As a Senior Artificial Intelligence/Machine Learning Engineer, you will become a part of a cross-functional development team engineering experiences of tomorrow to design, configure, and optimize intelligent AI-powered search and retrieval systems using Kore.ai SearchAI. The ideal candidate will have strong expertise in LLM-powered retrieval architectures, content ingestion pipelines, chunking strategies, retrieval quality evaluation, and enterprise AI search optimization. This role will play a key part in enabling next-generation AI experiences by improving search relevance, retrieval accuracy, and content intelligence across enterprise platforms.
Responsibilities
- Configure and optimize Kore.ai SearchAI pipelines for enterprise AI search use cases
- Design and implement effective chunking strategies for structured and unstructured enterprise content
- Manage content ingestion workflows and retrieval optimization for LLM-based search systems
- Perform retrieval quality testing, relevance evaluation, and response accuracy analysis
- Support migration activities from SearchAssist to SearchAI platforms
- Validate enterprise content against technical standards and ingestion requirements
- Work closely with cross-functional teams to improve search relevance and user experience
- Analyze retrieval patterns and optimize AI search performance using data-driven insights
- Troubleshoot indexing, ingestion, retrieval, and ranking-related issues
- Collaborate with AI/ML teams to enhance semantic search and agentic AI capabilities
Requirements
- Strong experience with Kore.ai SearchAI / SearchAssist platforms
- Hands-on expertise in:
- Content chunking strategies
- AI search pipelines
- Retrieval optimization
- Semantic search systems
- Experience working with LLM-powered retrieval systems and RAG architectures
- Strong understanding of:
- Vector search
- Embeddings
- AI content ingestion pipelines
- Search relevance tuning
Technical Skills
- Strong programming skills in Python
- Experience with REST APIs and enterprise integrations
- Understanding of unstructured content processing and indexing
- Experience with retrieval quality testing and evaluation frameworks
- Knowledge of prompt engineering and AI workflow orchestration
Desirable
- Exposure to Agentic AI frameworks and autonomous AI workflows
- Experience with vector databases such as Pinecone, Weaviate, or FAISS
- Familiarity with LangChain, LlamaIndex, or similar AI orchestration frameworks
- Understanding of AI governance and content validation standards