AI Search Specialist - Solr/ElasticSearch

Job Description :

Key Responsibilities :

- Design and implement search architectures using Apache Solr, Elasticsearch, or OpenSearch, including schema design, indexing pipelines, and replication setups

- Develop and maintain Python-based services for data ingestion, processing, orchestration, and ML integration

- Optimize search relevance through advanced techniques like tokenization, analyzers, stemming, boosting, and custom scoring

- Deploy and manage cloud-based infrastructure on AWS (ECS, Lambda, S3, IAM) for scalable search applications

- Build and maintain robust, testable APIs that expose search functionalities to frontend and backend systems

- Implement and maintain CI/CD pipelines with automated testing (unit, integration, performance) to ensure code quality

- Collaborate with engineering, data, and product teams to integrate search into broader application ecosystems

Must-Have Qualifications :

- 4+ years of hands-on experience with Apache Solr, Elasticsearch, or OpenSearch

- Strong proficiency in Python for scripting, data manipulation, and ML prototyping

- Proven experience deploying workloads on AWS, including services such as ECS, Lambda, S3, and IAM

- Deep understanding of search relevance concepts, including tokenization, stemming, analyzers, boosting,

and query/index-time optimization strategies

- Solid experience with CI/CD pipelines and writing automated tests (unit, integration, performance)

- Strong problem-solving, debugging, and analytical skills

Preferred Skills :

- Exposure to LLM fine-tuning or Retrieval-Augmented Generation (RAG) frameworks

- Experience working with search datasets in the construction or AEC industry

- Familiarity with Infrastructure as Code (IaC) tools like Terraform or Pulumi

- Understanding of container security best practices and the AWS Well-Architected Framework