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The AI Engineer will build and optimize an enterprise search solution, manage a knowledge graph, develop ranking models, and enhance search relevance.
AI Engineer - Enterprise SearchOverview
We are looking for an experienced Enterprise Search Lead to build and optimize our multi-tenant enterprise search solution. This role focuses on creating scalable systems that integrate seamlessly with customer environments, leveraging cutting-edge AI and ML technologies. You will design and manage the enterprise knowledge graph, implement personalized search experiences, and drive AI- powered innovations to enhance search relevance and ITSM workflows.
What You Will Do:- Build and structure our enterprise knowledge graph to organize content, people, and activity into meaningful relationships for better search relevance.
- Develop and refine personalized ranking models that adapt to user behavior and improve search results over time.
- Design ways to adapt AI language models to each customerʼs data for enhanced accuracy and context.
- Explore innovative methods to combine LLMs with search engines for answering complex queries
- Write clean, robust, and maintainable code that integrates smoothly with multi-tenant systems.
- Collaborate with cross-functional teams to align search capabilities with ITSM workflows.
- Mentor junior engineers or learn from experienced ones to grow as a technical leader.
What You Should Have
- 3-5 years of experience working on enterprise search products with AI/ML integration.
- Expertise in multi-tenant systems and securely integrating with external customer systems.
- Hands-on experience with tools like Elasticsearch, Solr, or similar search platforms.
- Strong coding skills in Python, Java, or equivalent languages.
- A passion for solving complex problems with AI and delivering intuitive user experiences.
Top Skills
AI
Elasticsearch
Java
Ml
Python
Solr
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