Artificial Intelligence Engineer
SoTalentAbout the role
Artificial Intelligence Engineer
📍 Location: Santa Clara, California, United States
🏢 Industry: Computer Hardware Manufacturing
💼 Work Setting: Hybrid
Are you passionate about applying Artificial Intelligence to solve complex engineering challenges and accelerate innovation? We are seeking an experienced Applied AI Engineer to develop and deploy AI-driven solutions that enhance engineering workflows, automate processes, and improve system validation and hardware-related operations. This role offers the opportunity to work at the intersection of AI, machine learning, and advanced hardware technologies while collaborating with multidisciplinary teams to deliver impactful solutions.
Key Responsibilities
Design, develop, and deploy AI-powered solutions to improve engineering, design, and validation workflows.
Build and integrate intelligent automation systems that enhance efficiency, scalability, and decision-making processes.
Collaborate with cross-functional teams to identify opportunities for AI adoption and implement innovative solutions.
Develop and optimize machine learning and deep learning models for real-world engineering applications.
Integrate AI agents and Large Language Model (LLM)-based solutions into existing tools, platforms, and workflows.
Analyze complex datasets to generate insights, improve operational effectiveness, and support business objectives.
Work closely with engineering teams to support system validation, hardware interaction, testing, and debugging activities.
Drive continuous improvement initiatives by leveraging AI technologies to streamline processes and increase productivity.
Evaluate emerging AI technologies, frameworks, and methodologies to recommend and implement best practices.
Ensure AI solutions are scalable, reliable, secure, and aligned with organizational goals.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electronics, Engineering, or a related technical field.
Minimum 5 years of experience developing and implementing ML/AI systems in production environments.
At least 2 years of hands-on experience delivering applied AI solutions for real-world business or engineering use cases.
Strong proficiency in Python and at least one statically typed programming language such as C++, Java, C#, or Scala.
Experience working with machine learning, deep learning, and AI frameworks.
Solid understanding of Large Language Models (LLMs), AI agents, and modern AI application architectures.
Experience with data analysis, model development, deployment, and performance optimization.
Strong problem-solving abilities and the capability to work with complex technical systems.
Excellent collaboration and communication skills with the ability to work across multiple teams.
Preferred Qualifications
Experience in hardware-oriented environments, embedded systems, or engineering automation domains.
Understanding of computer architecture, system design, and validation methodologies.
Experience supporting debugging, testing, or validation processes for complex systems.
Familiarity with MLOps practices, model deployment pipelines, and cloud-based AI platforms.
Knowledge of AI-assisted software development and workflow automation technologies.
Experience integrating AI solutions into enterprise tools and engineering ecosystems.
Key Skills
Applied Artificial Intelligence
Machine Learning & Deep Learning
Large Language Models (LLMs)
AI Agents & Automation
Python
C++ / Java / C# / Scala
Data Analysis & Modeling
AI Frameworks
System Validation
Debugging & Troubleshooting
Hardware Interaction
Computer Architecture
Cross-Functional Collaboration
Solution Design & Deployment
Process Optimization & Innovation
Responsibilities
- Design, develop, and deploy AI-powered solutions to improve engineering, design, and validation workflows.
- Build and integrate intelligent automation systems that enhance efficiency, scalability, and decision-making processes.
- Collaborate with cross-functional teams to identify opportunities for AI adoption and implement innovative solutions.
- Develop and optimize machine learning and deep learning models for real-world engineering applications.
- Integrate AI agents and Large Language Model (LLM)-based solutions into existing tools, platforms, and workflows.
- Analyze complex datasets to generate insights, improve operational effectiveness, and support business objectives.
- Work closely with engineering teams to support system validation, hardware interaction, testing, and debugging activities.
- Drive continuous improvement initiatives by leveraging AI technologies to streamline processes and increase productivity.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electronics, Engineering, or a related technical field.
- Minimum 5 years of experience developing and implementing ML/AI systems in production environments.
- At least 2 years of hands-on experience delivering applied AI solutions for real-world business or engineering use cases.
- Strong proficiency in Python and at least one statically typed programming language such as C++, Java, C#, or Scala.
- Experience working with machine learning, deep learning, and AI frameworks.
- Solid understanding of Large Language Models (LLMs), AI agents, and modern AI application architectures.
- Experience with data analysis, model development, deployment, and performance optimization.
- Strong problem-solving abilities and the capability to work with complex technical systems.
Skills mentioned
About SoTalent
A recruitment media and candidate acquisition agency helping employers and hiring partners connect with relevant talent at scale. We promote live job opportunities across social, professional and digital channels, then screen and evaluate candidates to discover relevant opportunities while supporting employers with quality applicant flow. Focused on high-volume hiring sectors including healthcare, logistics, technology, engineering and skilled professions.