AI Software Design Lead
hace 1 semana
About Creai, a leading AI consulting and custom software development company, we empower businesses to integrate advanced AI into their operations. Our mission is to drive innovation, efficiency, and prepare companies for the future.
Our team of experts designs and implements tailored solutions that address key business challenges across industries. From expert consulting and technical planning to full system integration, we ensure businesses maximize their potential with cutting-edge AI solutions.
SynopsisWe are seeking an experienced Software Architect to play a central role in shaping the technical direction of our AI-powered solutions. The ideal candidate will possess expertise in driving the development of scalable, reliable, and high-performance software systems.
About the Role- The successful candidate will lead large-scale technical projects, working closely with development teams and clients to deliver high-quality, innovative solutions on time.
- Key responsibilities include designing and developing innovative AI-powered software solutions, collaborating with clients and internal teams to define technical requirements, and overseeing full-stack development using frontend frameworks (e.g., React, Next.js) and backend technologies (e.g., Node.js, Python).
Estimated Annual Salary: $120,000 - $180,000
Required Skills & Experience- 3+ years of software development experience, with at least 1+ years in an architecture or technical leadership role.
- Proven full-stack development experience using frontend frameworks (e.g., React, Next.js) and backend technologies (e.g., Node.js, Python), along with databases (SQL or NoSQL).
- Experience integrating third-party services using RESTful API design, GraphQL, and cloud platforms (e.g., AWS, Azure, Google Cloud).
- Expertise in ensuring software scalability, reliability, and maintainability through DevOps practices (CI/CD pipelines, version control, containerization, infrastructure-as-code).
- Understanding of no-code tools such as Make and Airtable.
- Experience implementing AI solutions using cloud ML tools, or frameworks like TensorFlow, PyTorch, and libraries such as pandas and scikit-learn.
- Ability to work on multiple proof-of-concept projects within a fast-paced environment.
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