AI Full Stack Developer
Job Summary
We are looking for a highly motivatedAI Full Stack Developerto join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.
Key Responsibilities
- AI Application Development:Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
- ML Model Integration:Implement machine learning models (using frameworks likePyTorch,TensorFlow, orscikit-learn) into web and mobile applications.
- Backend & API Engineering:Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.
- Frontend Development:Create interactive, responsive front-end components for user interfaces using modern frameworks likeReact,Vue, orNext.js.
- MLOps& Deployment:Manage end-to-end life cycles for production, including deployment workflows usingKubernetes,Cloud Run, or containerization tools to ensure high-performance applications.
- Database Management:Manage both relational and NoSQL databases to support AI-powered functionality.
- Collaboration:Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.
Required Qualifications & Skills
- Experience:Proven experience(5~8 yrs. for Middle Level) as a Full Stack Developer with specialized experience in AI model deployment.
- Backend Skills:Strong proficiency in Python and frameworks like FastAPI or Django.
- Frontend Skills:Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).
- AI/ML Knowledge:Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).
- Cloud/DevOps:Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
- Education:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
Preferred Qualifications
- Experience with generative AI and agentic architectures.
- Understanding of data privacy and security in AI applications.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Why work at BTI?
We're committed to creating a workplace where employees feel valued, supported, and empowered to grow. Our team benefits from competitive compensation, comprehensive health and wellness offerings, and opportunities for professional development. We are proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.
We comply with all applicable federal, state, and local employment laws, including those related to fair hiring practices, pay transparency, workplace safety, and reasonable accommodations. We are dedicated to maintaining an inclusive environment where everyone has the opportunity to succeed and contribute meaningfully.