> Markdown version of [/jobs/ext/3960059-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3960059-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Triunity Software - **Location:** Oakland, CA, United States - **Salary:** $100,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Computer Vision, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, NumPy, Performance Tuning, Tensorflow, Data Processing, Pytorch, Generative AI, Pandas, Scikit Learn, Information Technology, Data Management, Machine Learning Operations - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-oakland-ca--5674f6fa-6228-456b-96ad-e9008d8b4077 ## About the Role * Bachelor's or Master's degree in Computer Science, Data Science, or a related field * Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn * Proficiency in Python and experience with data manipulation libraries (Pandas, NumPy) * Familiarity with NLP, computer vision, or generative AI is a strong asset * Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong problem-solving skills and ability to work both independently and collaboratively * Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders ## Description * Design, develop, and deploy machine learning models and AI-powered applications * Collaborate with cross-functional teams to integrate AI solutions into existing software products * Research and evaluate emerging AI/ML frameworks, tools, and methodologies * Build and maintain data pipelines to support model training and inference * Monitor, test, and optimize model performance in production environments * Contribute to technical documentation and best practices for AI development