Job Description

Job ID

518814

Posted since

19-Aug-2026

Organization

Smart Infrastructure

Field of work

Research & Development

Company

Siemens Sanayi ve Ticaret Anonim Sirketi

Experience level

Mid-level Professional

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Permanent

Location(s)

• Gebze - Kocaeli - Türkiye
• Kocaeli - Kocaeli - Türkiye

Siemens Gebze factory is the lead factory for Air Insulated Switchgear production in Siemens World and exporting to more than 80 countries worldwide! We are searching for a “AI Application Engineer”. You will join an exciting team and develop world-class solutions in a manufacturing facility. A great opportunity to experiment the harmony of code and real life!

Our Digital Transformation team builds digital products that support manufacturing and enterprise operations. We are expanding our AI capability to turn advances in generative AI into secure, reliable applications used in daily business processes.

We are looking for an AI Application Engineer who combines hands-on AI expertise with strong software engineering skills. You will evaluate emerging AI approaches against clear business and technical criteria, then turn the strongest concepts into production-ready solutions.

Success in this role is measured by production impact—not by the number of prototypes created.

Typical Allocation

Approximately 60% of the role focuses on applied AI exploration, validation and productization, while 40% involves software and digital product development.

This balance may vary based on validated AI opportunities and product priorities. This is not a pure research or data science position: you will be expected to move from experimentation to production and contribute to broader software development when needed.

What You Will Do

Applied AI Exploration and Validation

• Evaluate developments in large language models, AI agents, multimodal AI, retrieval systems and model orchestration.
• Translate manufacturing and enterprise challenges into testable AI use cases with clear success criteria.
• Build focused prototypes and benchmarks to assess technical feasibility and business value.
• Compare models and architectures based on quality, task completion, latency, security and operating cost.
• Design experiments involving prompting, context engineering, retrieval, tool calling and agent workflows.
• Create representative test datasets and automated evaluations.
• Identify failure modes such as hallucination, incomplete retrieval, incorrect tool usage and inconsistent output.
• Make evidence-based recommendations to proceed, improve or stop.

AI Product Engineering

• Turn validated AI concepts into secure, maintainable production applications.
• Develop AI services, APIs, orchestration components and integration layers.
• Build RAG pipelines using structured and unstructured enterprise data.
• Develop agents that securely interact with APIs, databases, internal services and business workflows.
• Implement guardrails, access controls and human-in-the-loop processes where required.
• Operate AI applications beyond deployment through versioning, evaluation, monitoring, tracing and feedback loops.
• Optimize solutions for quality, latency, token usage and infrastructure cost.
• Deploy and maintain applications using automated and containerized delivery processes.

Software and Digital Product Development

• Develop backend services, REST APIs, database components and business logic.
• Integrate applications with enterprise systems and operational data sources.
• Contribute to backend and frontend development when required to deliver end-to-end features.
• Support the broader digital product backlog based on team priorities.
• Write automated tests, review code and improve existing applications.
• Build reusable services and components that can support multiple products.

Required Qualifications

• At least three years of professional experience in software engineering, AI engineering or machine learning engineering.
• Bachelor’s or master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related technical discipline.
• Strong programming skills and professional experience building backend services or APIs.
• Proven experience building and deploying production AI applications.
• Hands-on experience with at least two of the following:
• Experience designing and consuming REST APIs.
• Experience with relational databases, SQL and data modeling.
• Experience operating and improving production software after its initial release.
• Working knowledge of Git, automated testing, CI/CD and containerized application development.
• Professional working proficiency in English.

Preferred Qualifications

• Experience with vector databases and hybrid retrieval.
• Experience with agent orchestration and workflow-based AI systems.
• Experience with Model Context Protocol or comparable tool-integration approaches.
• Experience with LLM evaluation, tracing, observability and feedback mechanisms.
• Experience with React, Angular, Vue or another modern frontend framework.
• Experience with Kubernetes and cloud, on-premises or hybrid deployment environments.
• Experience integrating applications with manufacturing or enterprise systems.
• Knowledge of data privacy, cybersecurity and responsible AI practices.

What Success Looks Like

Within your first six months, you will typically have:

• Delivered at least one AI capability to a production release or controlled production pilot.
• Validated multiple AI approaches through structured, measurable experiments.
• Established quality, reliability, latency and cost metrics for at least one AI use case.
• Built reusable AI services or components that can support multiple digital products.
• Improved an existing digital product through AI integration or direct software engineering contribution.
• Implemented the monitoring, evaluation and feedback mechanisms required to continuously improve a deployed AI capability.

What We Offer?

1. Speaking up Culture
2. Respectful Workplace
3. Being part of a global work environment
4. Attractive remuneration package
5. Excellent recognition tools providing spot awards
6. Learning & Development opportunities for both personal and professional growth
7. Leave days for parents and a variety of flexible working models that allow time off for yourself and your family
8. Creche allowance for mothers
9. Share matching programs to become a shareholder of Siemens AG
10. Remote working and remote living flexibility only for relevant positions
11. Find more benefits here

Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.

“At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality.

As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.

Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.

We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.

Please find more information from our web site:

https://new.siemens.com/tr/tr.html

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