Full Stack AI Engineer
Description
Are you passionate about artificial intelligence and software engineering? Do you thrive in a fast-paced and dynamic environment?
We are seeking a talented Founding Full-Stack AI Software Engineer to join our team to build the Intelligenic platform that will automate the software development life cycle.
As a Full-Stack AI Software Engineer, you will have the opportunity to work on cutting-edge technologies and develop innovative solutions that leverage the power of artificial intelligence.
The position will be compensated with pre-seed equity.
Responsibilities
- Design, develop, and deploy full-stack AI software solutions.
- Collaborate with cross-functional teams to gather requirements and define project scope.
- Write clean, efficient, and scalable code using programming languages such as Python and JavaScript.
- Integrate and extend large language models to produce software and supporting assets
- Implement machine learning algorithms and models to extract insights from data.
- Build user interfaces that are intuitive, visually appealing, and responsive.
- Develop and maintain databases to store and retrieve data efficiently.
- Perform code reviews and provide constructive feedback to team members.
Requirements
- Bachelor's degree in Computer Science or a related field.
- Proven experience as a full-stack developer, with expertise in React.js and microservices architecture.
- Proficiency in front-end technologies, including React.js, HTML, CSS, and JavaScript.
- Proficiency in Python and other modern object-oriented programming languages.
- Experience with development frameworks such as Django or React.
- Familiarity with LangChain
- Experience with natural language processing libraries
- Solid understanding of back-end technologies, microservices architecture, and relevant frameworks.
- Strong knowledge of artificial intelligence concepts and algorithms.
- Deep understanding of the software development life cycle SDLC
- Familiarity with large language models
- Familiarity with machine learning libraries and frameworks.
- Solid understanding of database structures and query optimization.
- Excellent problem-solving and critical-thinking skills.
- Strong ability to work independently and in a team.
- Effective communication and collaboration skills
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