AI Application Engineer

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.

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.

• 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.

• 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.

• 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.

• 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:
• Model integration and deployment
• Retrieval‑augmented generation
• AI agents and tool calling
• LLM evaluation
• Semantic search and embeddings
• Experience designing and consuming REST APIs.
• Experience with relational databases, SQL and data…