Senior Software Engineer – AI Search, Backend

🕒 June 26

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Seismic

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

📣 Marketing

💼 Consulting

🏥 Healthcare

Marketing • Consulting • Healthcare

Seismic is a digital platform that enables businesses to connect with their audiences seamlessly through innovative solutions such as QR codes, URL shortening, and analytics tracking. It simplifies the process of creating engaging content and building brand connections by offering tools for mobile-friendly landing pages, customizable QR codes, and comprehensive link management. Used by various industries, Seismic facilitates better engagement and communication with audiences, whether in retail, healthcare, or financial services.

📋 Description

• Design, develop, and maintain backend systems and services for search functionality • Implement and optimize search and AI-driven semantic algorithms • Collaborate with data scientists, AI engineers, and product teams • Monitor and optimize search performance • Provide technical guidance and mentorship to junior engineers • Work closely with cross-functional teams

🎯 Requirements

• 8+ years of experience in software engineering • 5+ Experience with C# and .NET • 3+ Experience with Python • 3+ Experience with Redis • 2+ Experience with PostgreSQL • Proficient in Test Driven Development (TDD) • Experience with Infrastructure as Code (Terraform, Pulumi, etc.) • Experience with Event driven architectures with tools like Kafka • Experienced in container technologies such as Docker • Proficient in microservice frameworks like Kubernetes (K8s) • Experienced in Continuous Integration and Continuous Deployment (CI/CD) • Experience with DDD (Domain driven development) or feature toggle (Launch Darkly) is good to have • Cloud Expertise: Experience with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure • Good to have: Search/retrieval/AI: Prefer expertise in search platforms like ElasticSearch, Apache Solr • SaaS Knowledge: Extensive experience in SaaS application development • Bachelor's or Master's degree in Computer Science, Engineering, or a related field

🏖️ Benefits

• Global Benefits page