Yêu cầu công việc
What You&039;ll Do (Key Responsibilities)
Architect and implement complex, stateful, multi- agent workflows using advanced AI frameworks like Google ADK and LangChain to power our intelligent agent teams.
Design, develop, and deploy robust, scalable, and secure full- stack applications using our core technology stack of Node.js (NestJS, Next.js) and Python (FastAPI).
Contribute actively to the entire product lifecycle, from ideation and rapid prototyping to production deployment, monitoring, and continuous improvement.
Take ownership of the deployment lifecycle by containerizing applications with Docker and managing orchestration, scaling, and resilience on Kubernetes (K8s).
Champion and practice an AI- native development culture, leveraging "vibe coding" principles and AI assistants to maximize creativity and accelerate the pace of innovation.
Collaborate closely with AI researchers and data scientists to seamlessly integrate custom- trained LLMs and sophisticated AI models into our production platform.
What You&039;ll Bring (Qualifications)
Must- Haves:
A minimum of 4 years of professional experience in full- stack software development, with a proven track record of building and shipping complex, high- quality products.
Solid experience with Docker and a strong conceptual understanding of containerization and microservices architecture.
Expert- level proficiency in Python and experience with modern web frameworks like FastAPI.
Demonstrated ability to design, build, and consume complex RESTful APIs.
Strong proficiency in the Node.js ecosystem, including server- side frameworks (NestJS or Express) and front- end libraries/frameworks (React or Next.js).
An exceptional problem- solving mindset and an open- minded, enthusiastic approach to embracing new technologies. This is the most important skill we are looking for.
Huge Plus / Preferred Qualifications:
Excellent communication skills and the ability to thrive in a collaborative, fast- paced startup environment.
Experience with Model Context Protocol (MCP).
Practical experience deploying, managing, or developing for Kubernetes (K8s) environments.
Hands- on experience building applications with AI/LLM orchestration frameworks like LangChain or, ideally, Google&039;s Agent Development Kit (ADK).
A genuine enthusiasm for the latest trends in AI and a mindset geared towards "vibe coding" and leveraging AI- assisted development tools (e.g., GitHub Copilot, Cursor).
Experience with major cloud platforms (GCP, AWS, or Azure).