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What You&039;ll Do (Key Responsibilities)- 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).- Architect and implement complex, stateful, multi- agent workflows using advanced AI frameworks like Google ADK and LangChain to power our intelligent agent teams.- Take ownership of the deployment lifecycle by containerizing applications with Docker and managing orchestration, scaling, and resilience on Kubernetes (K8s).- Collaborate closely with AI researchers and data scientists to seamlessly integrate custom- trained LLMs and sophisticated AI models into our production platform.- Champion and practice an AI- native development culture, leveraging "vibe coding" principles and AI assistants to maximize creativity and accelerate the pace of innovation.- Contribute actively to the entire product lifecycle, from ideation and rapid prototyping to production deployment, monitoring, and continuous improvement.
What You&039;ll Bring (Qualifications)Must- Haves:- 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.- A minimum of 4 years of professional experience in backend software development, with a proven track record of building and shipping complex, high- quality products.- Expert- level proficiency in Python and experience with modern web frameworks like FastAPI.- Strong proficiency in the Node.js ecosystem, including server- side frameworks (NestJS or Express) and front- end libraries/frameworks (React or Next.js).- Solid experience with Docker and a strong conceptual understanding of containerization and micro services architecture.- Demonstrated ability to design, build, and consume complex RESTful APIs.Huge Plus / Preferred Qualifications:- Hands- on experience building applications with AI/LLM orchestration frameworks like LangChain or, ideally, Google&039;s Agent Development Kit (ADK).- Practical experience deploying, managing, or developing for Kubernetes (K8s) environments.- 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).- Experience with Model Context Protocol (MCP).- Excellent communication skills and the ability to thrive in a collaborative, fast- paced startup environment.