6 дней назад
Staff Software Engineer (AI)
165 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI): Leading architecture and delivery for Axios’ frontend, backend, API, data, and production systems across multiple teams with an accent on AI-native development, reliability, scalability, and technical strategy. Focus on designing resilient system boundaries, validating AI-generated code, driving multi-quarter migrations, and resolving complex production and security challenges.
Location: Remote within the United States
Salary: $165,000–$215,000 annually, depending on location, experience, and skills.
Company
is a growth-focused media company delivering clear, trustworthy news to millions of readers.
What you will do
- Lead mission-critical, multi-quarter initiatives across multiple teams and connected systems.
- Own architecture and scalable boundaries across frontend, APIs, data, and production systems.
- Write and review code, prototype, debug, lead migrations, and operate services in production.
- Identify valuable applications for models, agents, retrieval, and automation while establishing guardrails.
- Improve testing, performance, observability, security, reliability, and incident response.
- Mentor engineers and shape product-area roadmaps, technical standards, and cross-team alignment.
Requirements
- Typically 7+ years of professional software development experience or equivalent sustained Staff-level impact.
- Hands-on experience with agentic coding tools such as Claude Code, Codex, Cursor, or GitHub Copilot.
- Production frontend experience with JavaScript or TypeScript and React; Next.js experience is preferred.
- Experience building production services and APIs, with Go or Python experience or the ability to learn either language.
- Experience with relational databases, SQL, schema design, transactions, migrations, testing, accessibility, authentication, authorization, and web security.
- Ability to work remotely from within the United States.
Nice to have
- Experience building and evaluating AI-enabled production features using model APIs, retrieval, tool calling, or agent workflows.
- Experience with AI evaluation harnesses, tracing, feedback loops, model or prompt versioning, and cost or latency monitoring.
- Experience with MCP servers, agent tools, reusable plugins, automated code review, or custom AI workflows.
- Experience with CMS, publishing, media, subscription, search, or consumer-facing products.
- Experience with Go or Python, distributed systems, gRPC, cloud infrastructure, containers, queues, or CI/CD.
Culture & Benefits
- AI literacy and responsible use of AI tools are core expectations, supported by ongoing learning.
- 401(k) with employer match and health, dental, vision, HSA, and telehealth benefits.
- Paid caregiver leave, generous vacation, holidays, quarterly mental health days, and flexible support for parents and caretakers.
- Annual learning and development stipend and a monthly work-from-home stipend.
- Inclusive, diverse work culture with virtual company-sponsored social events and family hardship support.
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