What are the responsibilities and job description for the Full Stack Expert with AI position at Agileteksys LLC?
Job Details
*** W2 Contract***
Tittle : Full Stack with AI
Location : Bellevue, WA ( Hybrid )
Duration : 6-12 Months
Role & Responsibilities:
- Design, develop, and maintain web applications, services, and databases using modern technologies (React, Node.js)
- Implement responsive user interfaces and ensure a seamless experience across various devices.
- Work on both client-side and server-side logic, APIs, and database integration.
- Collaborate with data science teams to integrate machine learning models and AI-powered features into applications.
- Develop algorithms and APIs for AI/ML models, including data preprocessing, training, and deployment.
- Continuously evaluate and improve the performance of AI models within applications.
- Work with a cross-functional team to gather requirements and deliver solutions that meet customer needs.
- Contribute to the overall software architecture and ensure scalability, reliability, and security.
- Participate in code reviews, pair programming, and mentoring junior developers.
- Deploy applications to cloud platforms (AWS, Azure, Google Cloud) and ensure scalability and high availability.
- Optimize infrastructure and maintain continuous integration/continuous deployment (CI/CD) pipelines.
- Participate in agile ceremonies (standups, sprint planning, retrospectives) and maintain a high level of communication with the team.
- Iterate quickly on new features and maintain an adaptable approach to product development.
Required Skills
- Proven experience (8 years) as a Full Stack Developer with a focus on web applications.
- Strong knowledge of modern JavaScript frameworks (e.g., React, Angular, Vue.js).
- Proficiency in backend technologies (Node.js, Express, Python, etc.).
- Hands-on experience with AI/ML technologies, frameworks (TensorFlow, PyTorch, Scikit-Learn), and data pipelines.
- Solid understanding of database management systems (SQL, NoSQL, MongoDB, PostgreSQL, etc.).
- Experience working with RESTful APIs and integrating third-party services.
- Familiarity with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Google Cloud Platform, Azure).
- Strong problem-solving skills and the ability to quickly learn new technologies.
- Experience with Git and version control systems.
- Familiarity with Agile/Scrum methodologies
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
