AI Full-Stack Software Engineer
- Category: Software Developer Jobs
- Location: Alameda, California
- Job Type: Full Time / Part Time
- Salary: Estimated: $ 17K to 30K
- Published on: 2025/09/24
Job highlights
Identified by Google from the original job post
Qualifications
Strong background in Computer Science and Software Development
Proficiency in AI and ML technologies
Proficiency in Python and Javascript
Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying AI models
Ability to collaborate effectively in a team environment
Excellent problem-solving and analytical skills
Bachelor's or Master's degree in Computer Science, AI, or related field
Responsibilities
The Full-Stack AI Software Engineer will be responsible for designing, implementing, and maintaining AI-driven solutions across both front-end and back-end systems
The role involves utilizing natural language processing (NLP) techniques, developing user interfaces, and integrating AI models into scalable applications
Job description
Company Description
DataDasher is a Silicon Valley based and venture-backed enterprise software startup that specializes in using artificial intelligence and cutting-edge software to revolutionize the Private Wealth Management space. Our innovative solutions are designed to optimize processes, enhance decision-making, and drive productivity in the industry.
Role Description
This is a full-time hybrid role for a Full-Stack AI Software Engineer at DataDasher. The Full-Stack AI Software Engineer will be responsible for designing, implementing, and maintaining AI-driven solutions across both front-end and back-end systems. The role involves utilizing natural language processing (NLP) techniques, developing user interfaces, and integrating AI models into scalable applications. The position is based in the San Francisco Bay Area with flexibility for some remote work, and we are looking for candidates who can start full-time work no later than January 2025.
Qualifications
• Strong background in Computer Science and Software Development
• Proficiency in AI and ML technologies
• Proficiency in Python and Javascript
• Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying AI models
• Ability to collaborate effectively in a team environment
• Excellent problem-solving and analytical skills
• Bachelor's or Master's degree in Computer Science, AI, or related field
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