Platform Engineer - GenAI & Agent Frameworks (Ads)

Netflix, Inc.

United States

On-site

USD 388,000 - 558,000

Full time

5 days ago

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Benefits offered by this job

Health Plans

Mental Health support

401(k) Retirement Plan with employer

Stock Option Program

Disability Programs

Health Savings and Flexible Spending

Family-forming benefits

Life and Serious Injury Benefits

paid leave of absence programs

Full-time hourly employees accrue 35‑d

Full-time salaried employees flexible

Job summary

Netflix seeks a seasoned engineer to lead Ads Platform Foundations, building core platform primitives and tooling for agent-based systems. You will define APIs/SDKs for domain teams to plug in enterprise use cases and will own the reliability and observability of the platform.

Expect fast iteration and collaboration with multiple engineering squads. Strong experience in GenAI in enterprise contexts, platforms/SDKs, and a proven track record of shipping large systems quickly are essential.

Qualifications

Real, hands‑on GenAI experience in enterprise contexts.
Experience building platforms, frameworks, or SDKs consumed by other engineering teams.
Demonstrated high shipping velocity with new systems.
Backgrounds dominated by maintaining legacy systems is not a fit.

Responsibilities

Design and build core platform primitives - agent framework, tool/skill registry, orchestration runtime, memory and retrieval infrastructure, evaluation harness - for other domain teams to build their own agents and skills.
Define APIs/SDKs and integration patterns so domain teams can plug in their own enterprise use cases without rebuilding core agent infrastructure.
Build and iterate on the platform's tool/function-calling framework, planning/orchestration layer, memory, and retrieval subsystems.
Explore entity/knowledge graphs as a shared grounding/context layer that multiple agents can draw on.
Partner with domain teams to understand their use cases and shape the platform's building blocks and roadmap accordingly.
Own platform reliability, evaluation/observability tooling, and guardrails that other teams' agents inherit for free.
Ship fast - take things from prototype to a platform primitive other teams can adopt, with tight iteration cycles.