Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия дает практический опыт с продакшен-системами в быстро развивающейся сфере AI, но широкий список требований к LLM и офисный B2B-формат делают важными уточнения задач и условий работы.
Широкий профиль
?Клиентские проекты
Продакшен AI
Современный стек
Развитие навыков
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Middle Python Developer (AI/LLM): Building production backend applications and integrating LLM capabilities with an accent on Python, asynchronous services, APIs, databases, and retrieval-augmented generation. Focus on designing reliable LLM workflows, managing latency, token costs, security, evaluation, and end-to-end feature delivery.
Location: European Union; office location referenced near Petrovshchina metro in Minsk.
Company
hirify.global is a software development and consulting company delivering technology solutions to clients across North America and Europe, with expertise in backend development, Python, data science, fintech, financial analysis, artificial intelligence, and blockchain.
What you will do
Build and operate production backend services and REST APIs with Python, FastAPI, Django, and DRF.
Design asynchronous and concurrent services using asyncio, async/await, ASGI, queues, and background workers.
Integrate LLMs from OpenAI, AWS Bedrock, Google Gemini, or similar providers into real applications.
Own features end to end by breaking them down, estimating, building, and releasing them.
Monitor and secure production LLM systems, including latency, token costs, rate limits, retries, caching, hallucinations, prompt injection, moderation, and evaluation.
Requirements
3+ years of commercial software development experience with Python.
Production experience with FastAPI, Django/DRF, Python Core, asyncio, async/await, ASGI, and concurrency basics.
Experience with REST API design, HTTP, authentication and authorization.
Strong SQL and PostgreSQL knowledge, including indexes, transactions, and query optimization; experience with SQLAlchemy or Django ORM and migrations.
Experience with Redis, Celery, RabbitMQ, Kafka, or similar technologies.
Unit and integration testing with Pytest; Git, code review, and GitLab CI or similar CI/CD.
Docker, Linux, and production service operations, including logging, monitoring, configuration, secrets, and health checks; working knowledge of Kubernetes.
Experience with at least one cloud platform: AWS, Azure, or GCP.
Hands-on LLM integration and production experience with RAG, embeddings, vector search, LangChain, LangGraph, and vector stores or search engines such as pgvector, Qdrant, Weaviate, Pinecone, or Elasticsearch.
Knowledge of LLM security, including guardrails, content filtering and moderation, rate limiting, abuse protection, and prompt-injection mitigation; experience with LLM evaluation and quality monitoring.
English proficiency at B2 (Upper-Intermediate) or above.
Nice to have
Experience with MCP, A2A, AI agents, and agentic workflows.
Chatbot solution architecture experience.
Experience fine-tuning or adapting foundation models and working with local or open-source LLMs.
MLOps basics, including MLflow, SageMaker, or similar tools.
Experience with Angular or React with TypeScript.
OpenShift and Helm experience.
Culture & Benefits
Full-time B2B contract.
Three sick days per year and private medical insurance.
Food and commuting compensation for office work.
Free English lessons, an All Sports program, and an active developer community.
Regular team-building events, corporate events, sports competitions, and intellectual games.
Office gaming room, employee partner discounts, coffee, snacks, and opportunities to develop as a technical mentor or manager.
Будьте осторожны
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