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Чётко очерченная роль для senior backend-инженера сочетает современную Python-инфраструктуру с практической работой над агентным ИИ; подробные условия и продуктовый формат помогают оценить возможность.
Современный стек
Практический ИИ
Понятные задачи
Развитие и обучение
Гибкий формат
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Backend Engineer (Python) - AI (FastAPI, LLMs, MCP): Building Python backend services, async job infrastructure, AI agent integrations, MCP servers, and ETL pipelines with an accent on reliability, observability, data quality, and cost-efficient inference. Focus on designing long-running asynchronous workflows, integrating diverse generative models, and exposing platform capabilities to third-party AI agents.
Location: Remote - Europe Time Zones; other locations: Portugal and Spain. Flexible working schedule and remote-first work environment.
Company
hirify.global is a global software company building mobile marketing products for Apple Ads automation, ASO, A/B testing, and keyword and competitor insights.
What you will do
Design and build backend services in Python with FastAPI.
Implement asynchronous job execution and status tracking using Redis, Celery, and Kafka.
Integrate internal and external LLM services and build agentic AI capabilities.
Build and maintain external MCP servers for third-party AI agents and clients.
Develop ETL pipelines and maintain data quality across ingestion, transformation, and storage.
Ensure service stability, observability, and cost-efficient inference.
Requirements
5+ years of Python backend experience.
Strong FastAPI experience and solid PostgreSQL plus S3 or equivalent experience.
Experience with asynchronous task queues, including Celery, Redis, and Kafka.
Production experience integrating microservices, including long-running jobs, retries, and failure handling.
Hands-on production experience with agentic AI, including building MCP servers, implementing agents, and working with various LLMs and other generative models.
Basic observability skills covering logging, monitoring, and alerting.
Experience working in cross-functional teams with frontend and ML specialists.
Experience with AWS infrastructure, Docker, and Kubernetes.
Nice to have
Familiarity with LangChain or agentic workflows.
Marketing technology experience, including ad platforms or creative tools.
Experience with StarRocks or other OLAP databases such as ClickHouse.
Culture & Benefits
Vacation and public holidays follow each employee's country regulations, with additional annual PTO.
Medical insurance or healthcare compensation and paid sick leave.
Conference participation, mobile industry events, and internal professional development courses.
Flexible schedule, coworking cost coverage, online events, and offline team retreats.
Remote-first work with office hubs in key locations and collaboration across 20+ countries.
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