- Design, develop, and deploy full-stack applications that integrate AI models, with a focus on LLMs for tasks such as natural language processing, generation, and automation.
- Collaborate with cross-functional teams to rapidly prototype and iterate on ideas, ensuring quick turnaround from concept to production-ready solutions.
- Utilize LangChain and LangGraph to build efficient, stateful AI agents and multi-step workflows that apply existing models to solve real-world problems.
- Implement cloud-based infrastructure (e.g., AWS, Azure, GCP) for hosting, scaling, and managing AI applications, including data pipelines, APIs, and deployment pipelines.
- Participate in live coding sessions and rapid development sprints to demonstrate and refine solutions in real-time.
- Optimize applications for performance, security, and reliability, ensuring seamless integration of AI components into user-facing systems.
- Troubleshoot and debug complex issues across the stack, from frontend interfaces to backend AI logic and cloud deployments.
- Stay updated on emerging AI tools and best practices to continuously improve development processes and application efficiency.
Node.jsPHPPython+5 more