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Staff AI Software Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 501-1,000Since 2005Company SiteLinkedIn

Location

California

Posted

12 days ago

Salary

$222K - $334K / year

Bachelor Degree8 yrs expEnglishAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaKubernetesMicroservicesPythonScala

Job Description

• Help architect and deliver AI-native platforms • Play a key technical leadership role in evolving traditional SaaS patterns • Partner closely with Product and Engineering leadership • Contribute to architectural direction • Ensure platforms can support large language models (LLMs), agentic workflows, and AI-driven capabilities at scale • Design and build scalable, cloud-native microservices • Contribute to the technical roadmap for AI-native systems • Build and operate production-grade AI/ML systems • Partner on architectural planning for AI agents and inference optimization • Establish best practices for observability, resiliency, and cloud-native deployments • Improve CI/CD automation and developer workflows • Translate AI-first product direction into production-ready technical plans • Lead and contribute to cross-team initiatives spanning multiple engineering domains • Help set engineering standards for modern AI system design • Stay current on emerging AI approaches and apply useful techniques

Job Requirements

  • 8+ years of professional software engineering experience
  • 2+ years operating in a Staff-level (or equivalent) capacity
  • Proven track record shipping complex systems beyond basic CRUD applications
  • Strong expertise in distributed systems, system design, and performance optimization
  • Hands-on experience building or deploying production AI/ML features using LLMs, agentic frameworks, or similar technologies
  • Strong proficiency in Java, Scala, or Python
  • Experience with Kubernetes, container orchestration, and cloud platforms (AWS, GCP, or Azure)
  • Experience with vector search / vector databases (for example Pinecone, Milvus, Weaviate) and AI infrastructure at scale
  • Strong understanding of CI/CD automation and AI-augmented development workflows
  • Bachelor's or Master’s degree in Computer Science, Engineering, or equivalent practical experience
  • Strong communication skills and the ability to influence technical and non-technical partners.

Benefits

  • options for up to 100% paid Medical and Vision premiums for employees
  • flexible PTO policy
  • paid holidays
  • access to mental health and wellness resources
  • 401(k) with pre-tax, after tax, and roth options
  • short-term/long-term disability
  • life insurance
  • other great benefits

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