Staff Software Engineer, TwoTwenty

Location: United States
Workplace: Remote
Employment: Full Time
Salary: USD 177,185–364,795/yr

Posted 21d ago

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Responsibilities

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

Requirements

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 operating as a technical leader for large, ambiguous, cross-functional initiatives spanning one or more teams
Strong Python development skills — write idiomatic, well-structured, maintainable Python and navigate and improve large codebases
Experience building on top of distributed systems — designed, built and operated services at scale, with strong judgment around caching, async processing, data storage tradeoffs, choosing existing database, indexing, and queueing solutions
Experience building LLM-powered or ML-backed products in production — understand model integration, prompt and orchestration strategies, evaluation, latency/cost tradeoffs and operational challenges of AI-backed services
Demonstrated ability to use AI to improve speed and quality in day-to-day workflow, with a clear approach to validating accuracy and quality of AI-assisted work
High integrity and ownership: protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables

Skills

Python
LLM
ML
A/B testing
Observability

Responsibilities

Requirements

Skills

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