ai engineer for agentic experiences

HireHi; Lisboa; Presencial; EUR 60 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salaries

Equity

Private Medical Insurance

Meal Allowance 8.55€ per day

Paid Annual Leave 22 days

Global Lifestyle Reimbursement

Paid Sabbatical

Complete laptop workstation

Resumo da oferta

HireHi ищет ML-инженера для проектирования и сборки компонентов ML-платформы в рамках агентных систем. Вы будете работать над конвейерами извлечения, встраиванием моделей и масштабируемыми решениями для пользовательских сценариев.

Ключевые задачи включают внедрение RAG-архитектур, разработку и оценку ML-решений, а также сотрудничество с командой разработчиков и дизайна. Ожидается высокий уровень самоорганизации и опыт в распределённых командах.

Qualificações

• Опыт 5+ лет в ML-инженерии с фокусом на production systems.
• Опыт Python/TypeScript и работу с Mastra или аналогами.
• Опыт retrieval систем, векторных баз данных и RAG-архитектур.
• Умение планировать проекты и работать автономно в условиях неопределенности.
• Хорошие коммуникационные навыки в распределенной команде.

Responsabilidades

• Проектирование и сборка компонентов ML-платформы.
• Внедрение и развёртывание RAG-процессов от источников данных до извлечения.
• Разработка фреймворков оценки моделей и мониторинга.
• Сотрудничество с бэкенд-инженерами для надёжности и производительности.
• Улучшение Nova agent framework с Mastra и TypeScript.

Conhecimentos

Python

TypeScript

Mastra

Retrieval systems

RAG architectures

LLM features

Ferramentas

Mastra

LLM Toolkits

Descrição da oferta de emprego

Описание

Iterable is an AI customer engagement platform that helps organizations activate customer data, design cross-channel experiences, and optimize engagement. Its platform serves nearly 1,200 brands across more than 50 countries and includes Nova Intelligence, its AI layer.

Задачи

Design and build Machine Learning platform components for agentic systems, including retrieval pipelines, indexing strategies, and model integration layers Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns Develop evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring Implement abstractions, tooling, and reusable patterns that enable teams to build ML- and LLM-powered experiences Partner with backend engineers to productionize ML features with reliability, observability, and performance Prototype applied ML solutions to validate feasibility before full builds Ensure secure and robust handling of data in ML workflows and retrieval operations Collaborate with product, design, and engineering teams to align ML system design with user experience and product goals Improve the Nova agent framework, including workflows built with Mastra and TypeScript

Требования

5+ Years of experience as a Machine Learning Engineer or in a similar role focused on production systems Strong engineering skills in Python or TypeScript, including experience building ML workflows with Mastra or comparable agent/LLM toolkits Experience with retrieval systems, vector databases, search technologies, or RAG architectures Experience integrating ML- or LLM-powered features into production applications Understanding of ML evaluation techniques, experimentation design, and failure analysis Ability to lead complex projects, make practical trade-offs, and work independently in ambiguous areas Strong communication and collaboration skills in a distributed environment Будет плюсом: ML or LLM platforms, tooling, or developer-facing frameworks; embeddings, search-ranking systems, or advanced RAG architectures; event-driven systems or streaming architectures; model observability, performance monitoring, or proactive regression detection; personalization, recommendations, or applied NLP; remote-first engineering teams

Условия

Competitive salaries and meaningful equity Private Medical Insurance Life/Risk Assurance Meal Allowance: 8.55€ per day Community Days Paid Annual Leave (22 days) Global Lifestyle Reimbursement Account Paid Sabbatical Complete laptop workstation