aipythonkubernetesawsdistributed systemsreal time systemsevent driven systemsapi architecture
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Чётко очерченная senior-позиция в зрелой AI-продуктовой компании предлагает работу с современными распределёнными системами и ответственность за результат от начала до конца; главный компромисс - работа только в США и в офисе.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (AI): Building distributed backend services, real-time integrations, and APIs for an AI agent platform with an accent on reliability, horizontal scalability, and production operation. Focus on integrating LLMs and agentic harnesses, designing for partial failure and load, and delivering features from architecture through observability and iteration.
Location: San Francisco, California, United States
Company
hirify.global provides an enterprise AI control and execution platform that unifies data, applications, and business processes for production-scale AI orchestration.
What you will do
Build event-driven, horizontally scalable backend services that remain reliable and correct during partial system failures.
Develop real-time surfaces and integrations, including streaming connections, gateways, and CLIs.
Integrate LLMs and agentic harnesses into production systems.
Drive features end-to-end from ideation and architecture through deployment, observability, and iteration.
Improve engineering quality through clean, tested code, thoughtful reviews, and mentorship.
Requirements
5+ years shipping and operating production backend systems at scale.
Strong Python proficiency and ability to write clean, well-tested, maintainable code.
Deep distributed-systems fundamentals, including correctness and availability under partial failure, backpressure, and load.
Hands-on experience with event-driven, streaming, or real-time systems such as queues, pub/sub, and long-lived connections.
Experience operating cloud services on Kubernetes and instrumenting them with metrics, tracing, and dashboards.
Solid API and software-architecture judgment, including the ability to make and defend trade-offs in ambiguous situations.
High agency, end-to-end ownership, reliability mindset, product focus, AI-native workflow, and excellent written communication for asynchronous work.
Nice to have
LLM, agentic, or developer-facing product experience, including MCP, RAG, APIs, SDKs, or CLIs.
Experience with FastAPI, Postgres, Kubernetes, or AWS; prior experience with the entire stack is not required if the technologies can be learned quickly.
Culture & Benefits
Flexible, trust-oriented culture with ownership and emphasis on innovation and teamwork.
Dynamic work environment with benefits supporting work and personal life.
Async collaboration and a focus on balancing productivity with self-care.
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