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Job summary
A competitive technology firm located in Austin, TX is looking for an AI Engineer to enhance their search platform by integrating semantic search and LLM techniques. The ideal candidate will have 10+ years of experience in AI/ML with a strong background in ElasticSearch, focusing on improving search relevance. Responsibilities include modernizing search systems, optimizing APIs, and deploying solutions on AWS. This position requires hands-on experience with the latest search technologies and cloud services.
Qualifications
10 years of experience in AI/ML, NLP, or IR systems with hands-on search engineering.
Strong expertise in ElasticSearch/OpenSearch: analyzers, mappings, scoring, BM25.
Proficient in Python; familiarity with Java/Scala is a plus.
Responsibilities
Modernize and enhance ElasticSearch system with semantic search techniques.
Analyze limitations and enhance search relevance using synonyms and boosting strategies.
Build and optimize search APIs for latency, relevance, and throughput.
Skills
ElasticSearch
Python
LLM
GenAI
Semantic Search
AWS
Re-Ranking
Search Engineering
Tools
Docker
FastAPI
OpenSearch
Job description
A competitive technology firm located in Austin, TX is looking for an AI Engineer to enhance their search platform by integrating semantic search and LLM techniques. The ideal candidate will have 10+ years of experience in AI/ML with a strong background in ElasticSearch, focusing on improving search relevance. Responsibilities include modernizing search systems, optimizing APIs, and deploying solutions on AWS. This position requires hands-on experience with the latest search technologies and cloud services.