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Job Title:
Engineer I, Artificial Intelligence
Job Description:
The Role:
The mission of this role is to design, develop, deploy, and operationalize agentic AI systems and scientific machine learning solutions that automate complex, multi-step technical workflows.
The AI Engineer will focus on building LLM-driven, goal-oriented AI agents and data-driven models for physical systems, integrating them with data, tools, sensors, and simulation workflows.
This is a hands-on, implementation-focused role suited for someone passionate about agentic AI, scientific ML, and real-world engineering problem solving. Exposure to Modeling & Simulation (CFD/FEA) is beneficial but not mandatory.
In this role you will:
Engineer I, Artificial Intelligence
Job Description:
The Role:
The mission of this role is to design, develop, deploy, and operationalize agentic AI systems and scientific machine learning solutions that automate complex, multi-step technical workflows.
The AI Engineer will focus on building LLM-driven, goal-oriented AI agents and data-driven models for physical systems, integrating them with data, tools, sensors, and simulation workflows.
This is a hands-on, implementation-focused role suited for someone passionate about agentic AI, scientific ML, and real-world engineering problem solving. Exposure to Modeling & Simulation (CFD/FEA) is beneficial but not mandatory.
In this role you will:
- Design and develop agentic AI systems for multi-step reasoning, tool usage, and workflow orchestration
- Build LLM-driven workflows and Python-based pipelines integrating agents with data, APIs, and engineering tools
- Develop and apply scientific machine learning models using experimental, sensor, and simulation data
- Create data pipelines for preprocessing, feature extraction, and integration of time-series and spatial data
- Deploy and operationalize AI/ML models and agents as scalable services or APIs
- Implement monitoring, evaluation, and validation for both agent systems and ML models
- Visualize data and model outputs to support analysis and decision-making
- Collaborate with domain experts to integrate AI into engineering and simulation workflows, and document reusable solutions
- Bachelor’s degree (minimum) in Mechanical Engineering, Computer Science, or a related engineering discipline
- 1–3 years of relevant work experience in AI, ML, software engineering, or applied research roles (industry, startup, or research labs)
- Strong proficiency in Python programming
- Hands‑on experience building agentic AI systems that includes multi‑step task execution, Tool/function calling and workflow orchestration across agents or components
- Practical experience with machine learning libraries, including NumPy, Pandas, SciPy, scikit‑learn, TensorFlow and/or PyTorch
- Ability to independently design, build, and debug end‑to‑end AI workflows
- An agentic AI system that automates a complex multi‑step task (engineering, data analysis, design, or simulation related)
- A GitHub, internal demo, or portfolio project demonstrating, agent orchestration, use of tools/APIs, non‑trivial decision logic or reasoning loops
- Integration of LLM agents with data processing, visualization, or external software tools
- Experience with CFD or FEA workflows, particularly involving geometry, meshing, or simulation post‑processing will be considered as an advantage
- Familiarity with open‑source engineering tools such as OpenFOAM, SU2, CalculiX or similar will be considered as an advantage
- Effectiveness of agentic AI and SciML systems in real workflows
- Quality, scalability, and maintainability of deployed AI systems
- Demonstrated impact in reducing manual effort and improving engineering workflows
- Ability to translate ambiguous physical systems problems into structured AI/ML solutions
- Strong collaboration across AI, simulation, and experimental teams
Key Skills
Ranked by relevance
ai
simulation
machine learning
python
data analysis
tensorflow
pytorch
pandas
numpy
scipy
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- Posted
- Jun 29, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Singapore
- Company
- Entegris
Industries
Semiconductor Manufacturing
Chemical Manufacturing
Plastics Manufacturing
Categories
Engineering
Information Technology
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