Чётко очерченная senior-роль в backend-разработке для enterprise AI сочетает серьёзную техническую глубину, ответственность за результат и работу над надёжностью продукта.
Актуальный AI-стек
Понятная зона ответственности
Сфера AI
Хороший пакет льгот
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Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, Connectors & MCP (AI): Building secure, scalable AI integration platforms and backend services that connect enterprise systems, external tools, and data sources with an accent on high-throughput APIs, authentication, and reliable agent workflows. Focus on designing MCP and connector ecosystems, defining trust boundaries, and driving observability, resilience, and performance at scale.
Location: Hybrid, based out of hubs in San Francisco, New York City, or Seattle, United States
Salary: $146K–$240K base compensation in San Francisco and New York City; $132K–$216K in other US locations; equity offered
Company
Writer is an AI platform for enterprise marketing and revenue teams, using autonomous agents, generative AI, and governed enterprise knowledge to support growth and productivity.
What you will do
Design and deliver secure, scalable AI integration platforms connecting enterprise systems and powering mission-critical automation.
Shape the AI integration client ecosystem, including secure connections between AI applications, external tools, data sources, and enterprise systems.
Design backend services and high-throughput, low-latency APIs for agent workflows and cross-system orchestration.
Define identity, authentication, and trust boundaries across integrations using OAuth, API keys, and service-to-service security.
Partner with product and engineering leaders on roadmap, technical strategy, and platform capabilities.
Drive reliability through SLOs/SLAs, observability, incident readiness, performance optimization, architecture reviews, testing standards, and mentorship.
Requirements
5+ years of software engineering experience building and operating production backend systems with TypeScript, Deno, Node.js, or Bun; leveling may range from Senior to Staff based on architectural impact and leadership.
Strong experience designing and shipping API-driven platform services and distributed systems, including microservices, event-driven patterns, and secure service-to-service communication.
Practical experience building AI integration layers such as MCP clients/servers, tool orchestration, external API connectors, and authentication mediation.
Deep knowledge of third-party integration security, including OAuth2/OIDC, API keys, token lifecycle, secret management, and least-privilege access.
Cloud-native experience with AWS, GCP, or Azure, including Docker/Kubernetes, CI/CD, and production operations.
Strong observability and reliability engineering experience covering service metrics, SLOs/SLAs, alerting, incident response, and performance tuning.
Solid backend fundamentals in modern server frameworks and data systems, including TypeScript/Node or Python ecosystems and PostgreSQL, with the ability to choose appropriate tools.
Ability to lead through ambiguity, partner cross-functionally, mentor engineers, drive technical decisions, and own delivery from design through production.
Alignment with the values Connect, Challenge, and Own.
Nice to have
Experience with Python.
Culture & Benefits
Hybrid work from the San Francisco, New York City, or Seattle hubs.
Generous PTO, company holidays, and paid parental leave of 16 weeks for all parents.
Medical, dental, vision, fertility, family planning, cancer testing, FSA, and eligible-plan HSA support.
Annual wellness and learning and development stipends.
Company and team off-sites, stock options, and 401(k).
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