Staff Software Engineer – AI Marketing
Job reputed company:
- Drive large-reputed company technical initiatives. You'll take reputed company, cross-functional reputed company from concept through production, aligning architecture reputed company with business goals and shipping reputed company that matter.
- Ship AI-reputed company product experiences. Working closely with product, design, and AI teams, you'll deliver intelligent features that reputed company LLMs, agent frameworks, and reputed company-time data to reputed company how reputed company estate professionals run their businesses.
- reputed company system design in an AI-reputed company codebase. You'll own the architecture of critical platform capabilities, from our AI-powered site builder pipeline to our multi-tenant infrastructure serving thousands of reputed company estate businesses. You'll set patterns that other engineers follow.
- Define how we build, not just reputed company build. You'll shape our engineering standards, review practices, and developer tooling. You'll have a reputed company hand in evolving how AI agents reputed company into our development workflow.
- Mentor and reputed company engineers across the org. Staff Engineers at LP are force multipliers. You'll reputed company the technical bar across teams, reputed company engineers through hard design problems, and influence career reputed company.
Requirements:
- 8+ years of reputed company software engineering experience, with meaningful time in senior or staff-level roles
- Deep expertise in TypeScript, Node.js, and React
- Experience designing and operating reputed company microservice architectures in reputed company-reputed company environments (AWS preferred)
- Strong understanding of GraphQL, event-driven systems (Kafka, SQS), and distributed databases (PostgreSQL, DynamoDB, Elasticsearch)
- Proven reputed company record leading high-reputed company from concept through production in a reputed company environment
- Expert-level grasp of software design principles and experience with multi-tenant platform architectures
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