Lead Full-Stack Engineer (AI-Driven Systems)
Ориентир по рынку≈ 206 000 – 283 000 ₽наша приблизительная оценка по 30 вакансиям этой роли, у работодателя вилка не указана
≈ 2,5 тыс.–3,5 тыс. $
УдалённоLeadПолная занятостьАутсорсопубликовано 23 авг.
≈ 206 000 – 283 000 ₽наша приблизительная оценка
Описание
Разбор
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История
Вакансия на английскомПереведёт заголовок и описание вакансии на русский
Чем предстоит заниматься
Own end-to-end architecture of full-stack applications (React, Next.js, Node.js, TypeScript)
Lead design and implementation of AI-powered features including LLM integrations and agent-based workflows
Define and enforce engineering standards, code quality and best practices
Design robust CI/CD pipelines and DevOps processes
Drive system design decisions across authentication, data modeling, caching and event-driven architecture
Mentor engineers and lead code reviews
Collaborate with product and business stakeholders to translate requirements into technical solutions
Наши требования
7+ years of full-stack development experience
Expert-level proficiency in TypeScript, React, Node.js
Strong experience designing distributed and scalable systems on AWS
Deep experience with SQL/NoSQL databases and data modeling
Proven experience designing and deploying AI-powered systems (LLMs, AI agents, automation workflows)
Experience with Docker and CI/CD pipelines
Experience with agentic systems and orchestration frameworks (e.g. LangGraph, PydanticAI)
Strong understanding of prompt engineering, context management and evaluation pipelines
Experience building MCP-based integrations or similar tool ecosystems
Familiarity with AI observability, tracing and model evaluation tools
Kubernetes, Terraform or CloudFormation
Experience with enterprise identity (OAuth2, OIDC)
Experience building internal platforms or developer tools
Дополнительно
We are looking for a Lead Full-Stack Engineer
With deep expertise in AI-enabled systems to take ownership of architecture, engineering standards, and delivery of complex, production-grade applications. This role requires hands-on leadership, strong system design skills, and the ability to integrate advanced AI capabilities into scalable products
