Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Здесь предстоит серьезно работать с продакшен-системами на базе LLM и современным AI-стеком, но широкий full-stack-охват и отсутствие зарплатной вилки не дают понять ожидаемую нагрузку и уровень оплаты.
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Широкий круг задачЗарплата не указанаСовременный стекФокус на AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
LLM Engineer (TypeScript/NestJS): Design and operate production-grade LLM applications, agentic workflows, and AI assistants with an accent on RAG, tool use, state machines, and multi-provider model evaluation. Focus on building resilient conversation systems, troubleshooting retrieval and model failures, and optimizing quality, latency, throughput, reliability, and cost.
Location: Remote from Brazil or Portugal
Company
hirify.global delivers software engineering solutions, including production AI and LLM-powered systems.
What you will do
Design and extend production-grade LLM applications and agentic workflows using NestJS, XState v5, and the OpenAI SDK.
Build conversation-machine infrastructure with guard and action registries, flow validation, database-driven configurations, and Epicenter design-time tooling.
Develop and evolve Epic Support Assistant and Agent Support Assistant products, including chatbot and customer-support copilot capabilities.
Integrate MCP servers and implement tool-use, human-in-the-loop, escalation, clarification, fulfillment, and retrieval workflows.
Evaluate and tune models from OpenAI, Gemini, Anthropic, and other providers while balancing quality, latency, throughput, reliability, and cost.
Build resilient production infrastructure with retries, fallback routing, caching, streaming, rate limiting, observability, BullMQ, Redis, and PostgreSQL.
Requirements
Proven experience building and operating production LLM systems such as chatbots, AI assistants, agent copilots, RAG systems, or orchestration platforms.
Strong TypeScript and Node.js engineering skills, including TypeScript strict mode and NestJS API development.
Production experience with prompt engineering, RAG pipelines, agent design, tool calling, model evaluation, observability, and failure-mode analysis.
Fullstack experience across React, databases, infrastructure, production operations, REST APIs, asynchronous workflows, queues, events, and caching.
Experience with state-machine modeling, automated testing, monorepos, and interconnected services.
Must be able to work remotely from Brazil or Portugal.
Nice to have
Experience with MCP, Langfuse, AI gateways, semantic search, retrieval architectures, or multiple foundation-model providers.
Experience operating AI workloads at scale and shipping low-latency conversational products.
Background in customer support, player support, gaming, or high-volume consumer products.
Culture & Benefits
Production-focused engineering environment centered on reliable AI systems.
Emphasis on unit, integration, and contract testing as first-class deliverables.
Remote work arrangement available from Brazil or Portugal.
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