AI Backend Engineer (m/f/d)

Siemens; Amadora; Híbrido; EUR 60 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

On-site medical center

Volunteer days

Bridge days

Discounts on Siemens/Bosch brands

Learning platforms access

Resumo da oferta

Siemens Mobility is seeking an AI Backend Engineer to transform user needs into scalable, production-grade AI services. You will own end-to-end AI features, from design to deployment, with a focus on data-centric development and robust evaluation.

You will collaborate with engineers, tendering, and operations, mentoring juniors and working students, and shaping AI-enabled designs that go beyond prototypes.

Qualificações

• Strong software engineering foundation with 5+ years in AI, NLP, or information retrieval in production.
• Experience bridging exploratory data science (CRISP-DM) with SDLC for deterministic releases.
• Hands-on production AI systems experience with end-to-end ownership.

Responsabilidades

• Transform user needs into AI-enabled services through stakeholder collaboration.

Conhecimentos

Advanced Python

Production-grade software

Docker

LLMs & NLP

RAG & vector search

AI evaluation pipelines

Formação académica

Bachelor's degree in Computer Science/IT or related field

Ferramentas

OpenSearch

Pytest

Descrição da oferta de emprego

Siemens Mobility is a leading provider of innovative mobility products and solutions, covering the full rail asset lifecycle through hardware, software, and services. Our mission is simple but ambitious: help customers make better decisions by turning IoT data from rail assets into reliable, actionable insights!

Your Impact

As a AI Backend Engineer, you will play a key role in transforming real user needs across Siemens Mobility into scalable, production-grade AI services. The focus is on engineering reliable systems that last—AI is not the end goal, but a powerful enabler.

From early understanding of user workflows to deployment and monitoring, the work directly impacts how teams across engineering, tendering, and operations solve complex problems every day.

What You’ll Work On

How do user problems turn into usable AI products? By working closely with internal stakeholders, understanding their workflows in depth, and identifying where AI can genuinely add value. These insights are translated into AI-enabled service designs that go far beyond prototypes and make it into daily use.

Strong emphasis is placed on data-centric development and robust evaluation. Prompt engineering is treated as a structured discipline, supported by measurable evaluation strategies and high-quality datasets. In parallel, there is an active role in mentoring junior engineers and working students, guiding them through experiments, evaluation methods, and continuous improvement.

On the engineering side, the role involves building and operating production AI services using LLMs, RAG and hybrid retrieval approaches, and vector search technologies. Features are owned end-to-end—from design and implementation to deployment, monitoring, and ongoing improvement—within modern CI/CD and software quality standards.

Your Background

This position is best suited for someone with a strong software engineering foundation and significant experience working with AI systems in production environments. A degree in Computer Science, IT, or a related field is expected, along with 5+ years of hands-on experience in AI, NLP, or Information Retrieval.

Experience bridging exploratory data science (CRISP-DM) with structured software development (SDLC) is essential, especially when turning experimental work into reliable, deterministic releases.

Technical Expertise

• Advanced Python (3.11+), including async/await, type hints, and Pydantic
• Production-level software practices: testing with pytest, code quality enforcement (ruff, mypy, pre-commit), and structured Git workflows
• Strong autonomy in development environments, including Docker and local tooling
• Deep understanding of LLMs, NLP, and prompt engineering
• Hands-on experience with RAG, hybrid retrieval, GraphRAG, vector search (e.g., OpenSearch)
• Experience designing automated evaluation pipelines for AI quality and retrieval performance

Nice to Have

Experience with cloud AI platforms such as AWS Bedrock or Azure OpenAI, and familiarity with Model Context Protocol (MCP) or modern API interface standards, are valued extras.

What We Offer

• A flexible working model to promote a better work-life balance, a health insurance and access to our on-site medical center.
• 2 volunteering days a year and 4 additional bridge days per year.
• In addition, you’ll have access to exclusive discounts on Siemens and Bosch brands, and access to Siemens Learning Platforms that allow for internal online courses, as well as external platforms such as Coursera, Udemy, and LinkedIn Learning.

At Siemens Mobility we believe physical barriers are not related to potential. Only the potential matters to us. We are dedicated to quality, equality and valuating diversity. Therefore, we encourage applications that reflect the diversity of the communities within which we work.