AI engineer in RAG applications

SSF Ingenieure; Berlin; Ibrido; EUR 90.000 - 120.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible hours

Hybrid work

Mentor onboarding

Training opportunities

Snacks and beverages

Sports activities

Competitive pay + pension

Employee events

Wellpass & bike leasing

Descrizione del lavoro

SSF Ingenieure AG ищет специалиста по искусственному интеллекту для развития внутренней AI‑системы. Ваша задача — развивать их прототип в продуктивное решение с использованием C#/.NET на бэкенде и Angular на фронтенде.

Будете работать с LLM, RAG, embeddings и векторными БД, интегрировать с Microsoft 365 и другими источниками данных, а также обеспечивать качество, тестирование и мониторинг инфраструктуры AI.

Competenze

• Законченное образование по информатике или эквивалентное.
• Опыт разработки на C#/.NET, Angular/TypeScript и Python.
• Практический опыт с LLM-приложениями: RAG, embeddings, векторные БД.
• Опыт работы на Linux и Docker; GPU-инфраструктура приветствуется.
• Хорошие знания современных AI-моделей, их возможностей и ограничений.
• Свободное владение немецким на уровне C1+.

Mansioni

• Разработка и развитие внутренней AI-системы с прототипа до продуктивного применения.
• Back-end: C#/.NET, front-end: Angular.
• Проектирование AI‑функций: Enterprise search, анализ документов, чат по данным.
• Интеграция с Microsoft 365 и другими источниками данных.
• Выбор, оценка и внедрение AI-моделей; эволюция архитектуры AI.
• Поддержка инфраструктуры AI (Linux, Docker, GPU) и мониторинг.
• Консультирование, обучение и документация для бизнес-отделов.

Conoscenze

C#/.NET

Angular/TypeScript

Python

LLM/AI приложеня

RAG

Embeddings

Vector базы данных

Linux

Docker

GPU-инфраструктура

Regulatory AI/EU AI Act

Formazione

Диплом по информатике или эквивалент

Strumenti

Semantic Kernel

LangChain

Descrizione del lavoro

Описание:

As a consulting engineering firm, teamwork has been at the heart of what we do since our founding. Around 400 experts work at our locations in Munich, Berlin, Halle, Düsseldorf, Hamburg and Regensburg. Together, we create high-quality solutions across all areas of civil engineering. The diversity of our projects makes our everyday work as varied as it is fascinating. That is why we love what we do.

Задачи:

Build and further develop our in-house AI system, taking it from an existing prototype to a productive enterprise application. Develop and maintain the application using C#/.NET (backend) and Angular (frontend). Design and implement AI-powered features such as enterprise search, document analysis and chat based on internal data (RAG). Integrate the system with existing enterprise applications and data sources, particularly Microsoft 365 and project and document platforms. Select, evaluate and integrate suitable AI models, and continuously develop the AI architecture. Establish quality, testing and monitoring concepts to ensure reliable system performance. Operate and further develop the underlying AI infrastructure (Linux, Docker, GPU and inference servers), including performance and capacity management. Support business departments by providing consulting, training and documentation relating to AI applications and new use cases.

Требования:

A completed degree in computer science, business informatics or a comparable qualification. Experience in software development with C#/.NET, as well as knowledge of Angular/TypeScript and Python. Practical experience with LLM applications, e.g. RAG, embeddings, vector databases, and frameworks such as Semantic Kernel or LangChain. Experience operating Linux systems and Docker, ideally also GPU-based infrastructure. Good knowledge of current AI models, their potential uses and limitations. A basic understanding of data protection, IT security and regulatory requirements (e.g. the EU AI Act). Strong communication skills and a desire to explain complex technical topics clearly. Fluent German skills at C1 level or higher. Будет плюсом: Experience in the construction industry or with BIM is an advantage

Условия:

• Flexible and hybrid working time models.
• An open corporate culture with flat hierarchies.
• Comprehensive, individual onboarding with a mentor to support you as you get started.
• Training and development opportunities to support your professional and personal growth.
• A fresh fruit basket, as well as coffee, milk and tea.
• Shared sports activities that vary by location, e.g. ski days, company runs and Taekwon-Do.
• Attractive compensation, company pension scheme, capital-forming benefits and a commuting allowance.
• Regular employee events as an important part of our corporate culture.
• EGYM Wellpass, ergonomic desks and bike leasing.