Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$73к$90кмедиана$105к
36 в выборке
На СНГ рынке: $3.8к/мес ($3.5к - $4.7к)
86
Хорошая вакансия
развернуть
Роль предполагает самостоятельную работу над AI-функцией продукта с понятными задачами, но широкий круг ответственности и нераскрытые условия льгот оставляют часть деталей неясными.
Кликните для подробной информации
Широкая ответственностьСовременный AI-стекВлияние на продуктЛьготы не раскрыты
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Backend & AI Engineer (Python): Building core backend architecture, APIs, microservices, AI agents, and stateful LLM conversational flows for an AI career coach with an accent on scalable Python services, RAG pipelines, memory management, and real-time session analytics. Focus on designing complex LLM workflows, optimizing streaming and database latency, and resolving architectural bottlenecks while establishing engineering standards from scratch.
Location: Remote from Poland, Belarus, or Georgia
Company
hirify.global supports technology companies in building engineering teams and acts as a recruitment partner for a fast-growing, VC-backed HR-tech startup.
What you will do
Design and implement scalable, secure, and efficient Python backend services.
Architect AI agents and stateful LLM conversational flows with session context and long-term memory extraction.
Build interaction-evaluation logic and structured data pipelines for real-time session histories, transcriptions, and analytics.
Own backend architecture, API, and microservices decisions while evaluating tools, frameworks, and infrastructure.
Collaborate with product managers, designers, and front-end engineers to deliver product features.
Resolve architectural bottlenecks and establish engineering best practices, code quality standards, and technical documentation.
Requirements
5+ years of backend development experience with Python.
Hands-on experience building AI agents, orchestrating complex LLM workflows, and deploying RAG pipelines.
Experience with AI orchestration and memory-management frameworks such as LangGraph or LangMem.
Experience with vector search engines such as Qdrant for high-performance data retrieval and artifact management.
Experience optimizing latency for LLM streaming and database queries.
Strong knowledge of PostgreSQL and experience with ORMs.
Experience in early-stage startups or building systems from scratch in a fast-paced environment.
Strong ownership, independent research, problem-solving, autonomy, disciplined workflows, and respect for established engineering processes.
Result-oriented, hardworking, ambitious, and proactive approach.
Strong English at B2 level or higher.
Nice to have
Experience with TypeScript, NestJS, or React, with willingness to contribute across the stack when necessary.
Knowledge of CI/CD pipelines and Docker containerization.
Experience with message brokers such as NATS for microservices communication.
Experience optimizing performance in high-load or data-intensive systems.
Expertise with subscription-based or B2B/B2C SaaS.
Culture & Benefits
B2B engagement.
The role offers a high level of technical ownership and autonomous work within an organized engineering environment.
The benefit package is discussed individually during the interview process.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →