ai engineer for enterprise workflows

HireHi

United States

Hybrid

USD 103,000 - 148,000

Full time

3 days ago
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Benefits offered by this job

Flexible hybrid work
Career growth
Work-life balance

Job summary

Tieto Tech Consulting ищет инженера по искусственному интеллекту для разработки агентов и рабочих процессов, берущего на себя техническое владение решениями, архитектурные решения и качество кода. Вы будете строить enterprise‑grade решения на современных AI‑платформах, в первую очередь Azure.

Работа предполагает настройку окружений для масштабируемых задач, работу с данными клиентов, интеграцию решений в существующие IT‑ландшафты и участие в техподдержке продаж.

Qualifications

  • Практический опыт разработки и внедрения AI‑решений в продакшене.
  • Опыт работы с системами на базе LLM, включая RAG, агентов или GenAI проекты.
  • Сильные навыки Python, включая тестирование, архитектуру кода, API и CI/CD.
  • Понимание облачных архитектур AI и продакшн‑сред.
  • Опыт работы с данными и их интеграцией.
  • Умение ясно объяснять сложные концепции техническим и нетехническим сторонам.
  • Владение немецким и английским на рабочем уровне.

Responsibilities

  • Дизайн и сборка AI‑агентов и рабочих процессов для решения бизнес‑задач.
  • Техническое владение AI‑решениями, архитектура и качество кода.
  • Создание enterprise‑grade решений на платформах AI, преимущественно Azure.
  • Настройка окружений для масштабируемых нагрузок и контроль затрат.
  • Работа с данными клиента: пайплайны, качество и безопасность.
  • Интеграция AI‑решений в ИТ‑ландшафты клиента и передача командами эксплуатации.

Skills

Python
LLM systems
AI platforms
CI/CD
Data pipelines
German language
English language

Tools

Azure AI services
GenAIOps / MLOps tooling
PyTorch
TensorFlow
scikit-learn

Job description

Описание: Tieto Tech Consulting is a digital accelerator for innovation and sustainable value creation. It combines business design with software engineering to bring digital business to life and serves customers with a team of around 300 employees in Austria and Germany and a global team of 8,000 colleagues.

Задачи
  • Design and build AI agents and workflows that solve concrete business problems
  • Take technical ownership of applied AI solutions, including architecture decisions, engineering standards, and code quality
  • Build enterprise-grade solutions on modern AI platforms, mainly Azure
  • Set up environments to operate agentic workloads at scale, including GenAIOps, CI/CD, observability, systematic evaluation, and cost control
  • Work with customers' data landscapes, including data pipelines, retrieval, data quality, sensitive data handling, and access control
  • Integrate AI solutions into customers' existing IT landscapes and hand them over to the teams that operate them
  • Support pre-sales with technical scoping and effort estimates
  • Build customers' AI know-how through workshops and training
  • Grow the team through code reviews, knowledge sharing, and technical mentoring
Требования
  • Hands-on experience building and deploying AI solutions in production, beyond prototypes
  • Practical experience with LLM-based systems, including RAG, agents, or comparable applied GenAI work
  • Strong Python software engineering skills, including testing, code structure, APIs, and CI/CD
  • Good understanding of cloud-based AI architectures and production environments
  • Good understanding of data engineering and integration concepts
  • Systematically evaluate AI systems and maintain a structured approach to quality
  • Communicate complex concepts clearly to technical and non-technical stakeholders
  • Professional working proficiency in German and English
  • Будет плюсом: Experience with Azure AI services and GenAIOps / MLOps tooling, classical machine learning with PyTorch, TensorFlow, or scikit-learn, consulting or customer-facing technology projects, AI governance or model evaluation, mentoring engineers or owning technical workstreams
Условия
  • Локация: Берлин
  • Flexible hybrid work model
  • Professional growth, meaningful projects, open culture, and work-life balance
  • Opportunity to contribute to a growing and fast-developing sector
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