Job Overview
Vision Tact is seeking an innovative AI Developer to develop and integrate intelligent software applications that merge robust backend systems with AI-powered frontends.
The ideal candidate will have a strong foundation in both web and application development and the ability to seamlessly integrate machine learning models, automation pipelines, and real-time APIs into production environments.
You’ll collaborate with AI engineers, data scientists, and automation specialists to design scalable, client-ready solutions that bridge user interaction and intelligent back-end computation. This role is ideal for professionals who enjoy building end-to-end systems that deliver both performance and intelligence.
Key Responsibilities
Develop, test, and maintain scalable web and application solutions integrating AI or data-driven features.
Collaborate with data and AI teams to integrate machine learning APIs, automation modules, or microservices into production.
Build RESTful APIs and GraphQL endpoints for internal and external applications.
Design efficient database structures and manage data flow between frontend, backend, and AI models.
Implement secure authentication, authorization, and data access controls for enterprise-grade applications.
Optimize application performance and scalability for high-traffic systems.
Contribute to the design and architecture of Vision Tact’s proprietary AI and automation platforms.
Collaborate with DevOps and Cloud Engineers to ensure seamless deployment and maintenance of applications.
Write clean, modular, and reusable code following Vision Tact’s engineering standards.
Required Skills & Tools
Frontend: React.js, Next.js, HTML5, CSS3, JavaScript/TypeScript.
Backend: Node.js, Python (FastAPI/Django/Flask), Express.js.
Databases: MySQL, PostgreSQL, MongoDB, or Firebase.
AI Integration: RESTful/GraphQL APIs, JSON, WebSocket, TensorFlow/PyTorch model serving (preferred).
Dev Tools: Git, Docker, VS Code, Jenkins or CI/CD pipelines.
Cloud: AWS, Azure, or Google Cloud experience for app deployment and integration.
Soft Skills: Analytical mindset, cross-functional teamwork, strong debugging, and clear communication.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
Minimum 3 years of full-stack development experience, with exposure to AI model integration.
Portfolio or GitHub demonstrating complex full-stack or AI-integrated applications required.
Familiarity with containerization (Docker/Kubernetes) and cloud-based deployment is a plus.
Certifications in Full Stack Development, Cloud Engineering, or AI Integration will be an advantage.
