
Advanced Search Solutions Architect
3 days ago
A highly skilled Search Engineer is required to design and implement search solutions using OpenSearch/Elasticsearch.
- Develop advanced search features with custom analysers, tokenisers, and scoring algorithms.
- Create index templates, mappings, and lifecycle policies for data integrity, performance, and scalability.
- Built query builders and search pipelines tailored to complex business requirements.
- Leverage LLMs and AI for data enrichment and improved search relevance.
- Design and develop APIs for search using Python (FastAPI).
The ideal candidate will have expertise in:
- 5+ years of experience with Elasticsearch or OpenSearch in production environments.
- Experience with AI/ML-based search experiences such as RAG, learning to rank, and query understanding.
- Expert-level expertise in Python, with experience building APIs (preferably FastAPI).
- Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL.
- Experience with index template management, lifecycle policies, and large-scale data modelling.
- Proficiency in designing and optimising search pipelines and custom query builders.
- Prior experience developing software using AI-assisted tools and workflows is a plus.
- Strong testing background: integration, regression, and performance testing.
- DevOps skills: automation, CI/CD, and cloud infrastructure (AWS preferred).
In return, you can look forward to:
- A green-field project where you can architect the backbone of our data engine from scratch.
- Remote-first flexibility with core hours that suit your life.
- A small senior team with less bureaucracy, quicker decisions, and visible results.
- A collaborative, innovative, and supportive team culture.
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