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Addison Group · 2 hours ago

Backend Engineer - San Jose, CA

San Jose, CA

Full-time

Onsite

Mid, Senior Level

$230K/yr - $275K/yr

Addison Group is a GenAI-powered consumer technology company hiring its first Backend Engineer to help turn cutting-edge machine learning and visual media research into production-grade systems. This foundational engineering role involves owning the core backend architecture for a consumer-facing AI product and collaborating closely with ML engineers and frontend engineers.

Information TechnologyRecruitingStaffing Agency

Growth Opportunities

No H1B

Responsibilities

Design, build, and maintain robust APIs that power consumer-facing applications

Partner with ML engineers to productionize models and pipelines into reliable, fault-tolerant services

Own backend infrastructure including deployments, monitoring, CI/CD, and security

Work closely with frontend engineers to iterate quickly without sacrificing quality

Own projects end-to-end—from early exploration and prototyping through deployment and scaling

Establish backend best practices and documentation that will support future engineering hires

Qualification

Backend architectureAPI designCloud platformsDatabase managementContainerizationInfrastructure-as-codeAI/ML model servingFast iterationOwnership mindsetCollaboration

Required

Experience building backend systems from 0 → 1, either as an early startup engineer or technical lead

Strong background in API design and integration with client-facing applications

Comfort with databases, caching layers, and schema design for both real-time and analytical workloads

Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization, and infrastructure-as-code

Familiarity with serving AI/ML models in production, especially for media-rich or visual systems

Enjoys fast iteration but maintains a high bar for reliability, testing, and maintainability

Strong ownership mindset and excitement about wearing multiple hats on a small team

Preferred

Engineers who've worked at the intersection of visual media, cloud infrastructure, and machine learning —for example on photo platforms, creative tools, or ML-driven consumer products