1168 AI Developer

Intetics Inc.; EE. UU.; A distancia; USD 120.000 - 190.000; Jornada completa

Descripción de la vacante

Intetics Inc. ищет специалиста по AI на уровне Middle+–Senior для разработки и внедрения LLM-агентов в продукционные решения. Ваша задача — проектировать и реализовывать агенты, память и RAG-архитектуры, интегрировать MCP-серверы и orchestrate их в единую систему.

Кандидат с опытом применения AWS/Azure, Bedrock/Foundry и сильной основой в Python готов работать в кросс-функциональной команде над масштабируемыми AI-продуктами.

Formación

• 6+ лет опыта в IT как Software Engineer / ML Engineer / AI Engineer.
• Опыт продакшн-решений на базе Amazon Bedrock и/или Microsoft Foundry (Azure AI Foundry).
• Опыт развёртывания LLM-агентов в продакшн, включая customer-facing и внутреннюю автоматизацию.
• Опыт работы с хотя бы одним фреймворком агентов: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, Strands Agents, OpenAI Agents SDK.
• Глубокий MCP опыт: создание MCP-серверов поверх БД, интеграция внешних MCP-серверов, оркстраця сервисов.
• Опыт в памяти, контекст-менеджменте, RAG, оценке LLM.
• Опыт с Docker и CI/CD.

Responsabilidades

• Дизайн, сборка и поддержка LLM-агентов в продакшен-средах, внешних и внутренних.
• Создание MCP-серверов поверх существующих баз данных и систем, оркструрование нескольких MCP-серверов.
• Разработка памяти, контекст-менеджмента и архитектур RAG для продакшна.
• Установление фреймворков оценки, обработка edge-кейсов, оптимизация производительности агентов после релиза.
• Работа в архитектурах с базами данных, API, интерфейсами, агентами и оркестрационными приложениями.
• Разработка AI-решений с использованием Amazon Bedrock и/или Microsoft Foundry.
• Сотрудничество с межфункциональными командами для масштабируемых AI-продуктов.

Conocimientos

LLM разработка

Производственные AI-системы

Python

Docker

CI/CD

LangChain

Herramientas

LangGraph

LangChain

LlamaIndex

Semantic Kernel

AutoGen

OpenAI Agents SDK

Descripción del empleo

Описание

Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and "all-things-digital" solutions, is looking for an AI Developer (LLM / RAG / Agentic AI) to join its innovative team.

Задачи

• Design, build, and maintain LLM-based agents in production environments, both customer-facing and internal.


• Build MCP servers on top of existing databases and production systems, and orchestrate multiple internal and external MCP servers under a unified agent framework.


• Design and implement memory, context management, and RAG architectures for production use.


• Establish evaluation frameworks, handle edge cases, and continuously improve agent performance after release.


• Work within architectures that combine databases, APIs, interfaces, agents, and orchestration applications.


• Develop AI solutions using Amazon Bedrock and/or Microsoft Foundry.


• Collaborate with cross-functional teams to deliver scalable and reliable AI-powered products.

Candidate’s Portrait

We are looking for a hands-on AI Engineer (Middle+ to Senior level) who has successfully delivered AI agents into production and can clearly explain implementation challenges, failure cases, and optimization approaches. The ideal candidate is passionate about AI, actively explores new tools and models, and has a proven track record building intelligent systems beyond experimentation. 1.5-2+ years of hands-on experience with LLMs and AI agents in production environments. Strong background in Machine Learning, Python development, or Data Science. Self-driven, innovative, and continuously learning emerging AI technologies.

Must-Haves

• 6+ years of overall experience in IT as a Software Engineer, ML Engineer, or AI Engineer.


• Hands-on production experience with Amazon Bedrock and/or Microsoft Foundry (Azure AI Foundry, Azure OpenAI).


• Proven experience building and deploying LLM-based agents to production, including customer-facing conversational AI and internal workflow automation agents.


• Strong experience with at least one agent framework: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, Strands Agents, or OpenAI Agents SDK.


• Deep MCP expertise, including building MCP servers on top of existing databases and systems, integrating external MCP servers, and orchestrating multiple MCP services under a single agent.


• Strong experience with production-grade RAG, memory, and context engineering, including: Embeddings Chunking strategies Hybrid search Reranking Vector databases Short-term and long-term agent memory.


• Practical experience implementing agentic patterns such as: ReAct Planner-Executor Reflection Router Supervisor Multi-Agent Systems Human-in-the-Loop.


• Experience with LLM evaluation, guardrails, monitoring, and iterative optimization based on production usage and failure analysis.


• Strong understanding of system architecture involving databases, APIs, agents, and orchestration applications.


• Hands-on experience with Docker and CI/CD pipelines.

Требования

• Experience in fintech, trading, investing, brokerage, or cryptocurrency-related products.


• Background in regulated industries with strong requirements around compliance, data protection, and AI output auditability.


• Broader AWS or Azure cloud expertise beyond AI services.


• Experience with LLM evaluation and observability platforms such as LangSmith, Langfuse, Ragas, or custom evaluation pipelines.


• Advanced practical expertise with modern agentic AI development tools and rapid prototyping approaches.