P
Staff Software Engineer (TwoTwenty)
Skills
PythonMachine LearningAI
2 months ago
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Important information
Contract type:
Permanent
Salary:
$177,185 – $364,795 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
2 September 2026
What they need
- We’re looking for a Staff Software Engineer to lead the technical direction of the backend systems powering Pinterest’s AI-driven product experiences — Pinterest Assistant, visual editing and content creation tools and future LLM-based products
- You’ll design and ship backend systems while architecting the broader platform strategy that enables these experiences to scale across surfaces and teams. This is a hands-on leadership role where you’ll move between deep technical execution, system-level architecture and cross-team technical leadership
- Define the backend and platform architecture for AI-driven product experiences — visual-chat, AI image generation and editing, and agentic or LLM-based products — partnering with Engineering, Product, ML and UX leaders to shape the technical vision and roadmap
- Architect end-to-end systems spanning API layers, orchestration, logging, evaluation, storage and safety controls, ensuring solutions scale across multiple products and teams
- Lead resolution of complex technical challenges — e.g., scaling LLM inference for real-time features, balancing latency vs. quality in AI-generated content, and standardizing backend capabilities for reuse
- Design and implement production backend systems including API endpoints, orchestration layers, data models, caching strategies and integrations with Pinterest’s LLM infrastructure
- Use AI to accelerate prototyping, evaluation design and code generation, while applying judgment and verification to ensure correctness and quality
- Create and evolve shared tooling and evaluation frameworks for LLM-based experiences, including offline eval pipelines, A/B testing hooks, quality metrics and observability
- Guide the design of projects with significant complexity and ambiguity spanning multiple teams — setting technical direction, reviewing critical design docs and driving alignment across cross-functional partners
- Raise the bar on operational excellence by improving monitoring, alerting, incident response, capacity planning and service health — and mentor engineers to develop stronger ownership habits and grow into technical leaders- Experience building LLM-powered or ML-backed products in production — you understand model integration, prompt and orchestration strategies, evaluation, latency/cost tradeoffs and operational challenges of AI-backed services
- Experience operating as a technical leader for large, ambiguous, cross-functional initiatives spanning one or more teams
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow, with a clear approach to validating accuracy and quality of AI-assisted work
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables
- Strong Python development skills — you write idiomatic, well-structured, maintainable Python and can confidently navigate and improve large codebases
- Bachelor’s degree in Computer Science, Engineering or a related field, or equivalent experience
- Minimum of 6 years of backend software engineering experience with a track record of leading and shipping projects with substantial impact on team-level or org-level goals
- Experience building on top of distributed systems — you’ve designed, built and operated services at scale, with strong judgment around caching, async processing, data storage tradeoffs, choosing existing database, indexing, and queueing solutions
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