Lead Software Engineer (Search/AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Lead Software Engineer (Search/AI): Architecting and scaling a foundational semantic search platform using OpenSearch with an accent on hybrid retrieval (BM25 + vector) and high-throughput data pipelines. Focus on optimizing search relevance, integrating neural search models, and ensuring system reliability under massive concurrent traffic.
Location: Must be based in or willing to relocate to the Austin, TX area; hybrid role requiring 3 days per week in the office.
Salary: $163,000 - $244,000
Company
is a commerce technology company that empowers businesses to grow through an open, AI-driven ecosystem.
What you will do
- Lead the design and implementation of hybrid semantic search capabilities using OpenSearch.
- Benchmark and fine-tune ranking models, k-NN, and neural search configurations.
- Maintain and scale core indexing pipelines using MySQL, Kafka/RabbitMQ, and microservices.
- Establish engineering best practices and mentor senior and mid-level team members.
- Ensure platform performance, low latency, and high availability under heavy load.
Requirements
- 7+ years of professional software development experience in a technical leadership or staff capacity.
- Deep expertise in OpenSearch or Elasticsearch at scale.
- Proven experience implementing semantic search, vector databases, and hybrid scoring models.
- Strong proficiency in a strongly typed language like Go, Scala, or Java.
- Experience with relational databases and distributed messaging tools.
- Must be based in or willing to relocate to the Austin, TX area.
Nice to have
- Familiarity with OpenSearch Neural Search plugin and Learning to Rank (LTR).
- Experience migrating large-scale search infrastructure.
- Knowledge of automated search quality measurement frameworks (NDCG, MRR).
- Experience with Docker and Kubernetes in cloud environments.
Culture & Benefits
- Hybrid work model balancing individual focus with in-person collaboration.
- Commitment to equitable pay practices and internal equity.
- Inclusive and accessible work environment.
- Opportunities to work on foundational AI-driven commerce infrastructure.
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