2 months ago
United Kingdom (city not specified)Staff+
Responsibilities
- Design and implement enterprise search solutions using AI, semantic search, vector search, RAG, vector databases, and related technologies.
- Leverage ELSER and other models to improve search accuracy, efficiency, and data retrieval.
- Create high-dimensional vector representations and implement vector search algorithms.
- Deliver proof-of-concept projects demonstrating improved search relevance, user experience, and decision-making.
- Present solutions and publish thought leadership content to evangelize Elastic’s AI-powered search vision.
- Collaborate with engineers, data scientists, industry experts, and Solutions Architecture teams to share knowledge and drive continuous improvement.
Requirements
- 10+ years of experience designing and architecting enterprise-level search solutions.
- Deep understanding of AI, semantic search, RAG, vector search, and NLP.
- Familiarity with Hugging Face, LangChain, and related ecosystem technologies.
- Knowledge of ELSER architecture and other models in the Hugging Face ecosystem.
- Experience with vector databases and emerging data storage solutions.
- Excellent communication and presentation skills for technical and non-technical audiences.
- Collaborative mindset and commitment to continuous learning.
- Fluency in Spanish is advantageous.
Benefits
- Competitive pay based on the work performed, without consideration of previous salary.
- Health coverage for employees and families in many locations.
- Flexible locations and schedules at a distributed company.
- Generous vacation days.
- Donation and service matching up to $2,000 or local currency equivalent.
- Up to 40 hours annually for volunteer projects.
- At least 16 weeks of parental leave.
Tech Stack
Elasticsearch
Categories
Solutions Engineering
About Elastic
Elastic builds the Elasticsearch-based platform for enterprise search, observability (logging, metrics, APM), and security (SIEM/endpoint). It sells subscriptions and Elastic Cloud managed services with usage-based pricing, combining open source and proprietary features through Elasticsearch and Kibana. Founded in 2012 and headquartered in San Francisco, Elastic is publicly traded on the NYSE and is used by more than half of the Fortune 500.