ml engineer for autonomous agents

HireHi; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

HireHi ищет опытного инженера по бэкенду с сильной экспертизой в ИИ и разработке автономных агентов. Вы будете проектировать взаимодействие LLM, реализовывать логику и управлять состоянием в многоагентной среде, используя LangChain и LangGraph.

Требуется глубокое знание паттернов, микросервисов и облачных развёртываний. Кандидат будет заниматься разработкой на Python, внедрением CI/CD, тестированием и взаимодействием с REST API и базами данных.

Qualifications

• 4+ года разработки ПО с фокусом на ИИ и/или бэкенд

Responsibilities

• Разработка автономных ИИ-агентов и оркестраторов.
• Проектирование и реализация логики взаимодействия LLM: подсказки, инструкции, контекст.
• Поддержка бэкэнда на Python и современные паттерны проектирования.
• Развертывание и управление в облаке с Docker и Kubernetes.
• Обеспечение наблюдаемости и взаимодействия между компонентами системы.

Skills

LangChain

LangGraph

Python

LLM интеграция

Шаблоны проектирования

Hexagonal Architecture

DDD

Event-driven

Управление состоянием

ИИ концепции

Tools

Docker

Kubernetes

Git

CI/CD

REST API

Базы данных

Job description

Описание: Описания нет

Задачи:

Design, develop, and optimize autonomous AI agents, orchestrators, and multi-agent solutions using LangChain and LangGraph Design and implement LLM interaction logic, including prompts, instructions, and context management Build and maintain robust, scalable backend infrastructure using Python and modern software design patterns Implement agent state management and design complex workflows involving multiple agents and tools Connect AI agents to data sources and services, including REST APIs, microservices, databases, and corporate systems Design and implement event-driven architectures, ensuring observability and interoperability between system components Integrate generative AI with deterministic logic, business rules, and predefined workflows to create hybrid solutions Apply software engineering best practices, including Git, CI/CD, automated testing, and agile methodologies Deploy and manage applications in cloud environments using Docker and Kubernetes Apply the MCP (Model Context Protocol) for model communication and orchestration

Требования:

At least 4 years of software development experience, with significant focus on AI and/or backend development Strong practical Python development skills Demonstrable experience with LangChain and LangGraph, including agent development, tool definition, workflow orchestration, and advanced state management Deep understanding and application of software design patterns, including Hexagonal Architecture, Domain-Driven Design (DDD), and modular, maintainable design principles Experience integrating LLMs and designing interaction logic, prompts, and instructions Knowledge of microservices architectures and experience with Docker, Kubernetes, and cloud deployments Experience with Git, CI/CD, automated unit, integration, and E2E testing, and a strong commitment to code quality Understanding of fundamental AI concepts, including generative AI, machine learning, and automated reasoning Будет плюсом: MCP (Model Context Protocol), event-driven architectures and distributed systems, observability tools (logging, monitoring, tracing), open-source contributions related to AI or software development, database design and optimization

Условия:

Opportunity to work on innovative, high-impact AI projects Dynamic, collaborative work environment focused on continuous learning