Summary: As a Gen AI Fullstack Developer, you will rapidly design, build, and iterate end-to-end AI-powered applications, collaborating closely with various teams. Highlights: 1. Design, build, and iterate end-to-end AI-powered applications 2. Integrate modern Gen AI technologies into production-ready systems 3. Collaborate with product, architecture, and engineering teams Description 100% remote position for candidates from Argentina and Chile As a Gen AI Fullstack Developer, you will rapidly design, build, and iterate end\-to\-end AI\-powered applications. You will work across frontend, backend, and cloud infrastructure, integrating modern Gen AI technologies into production\-ready systems. You will collaborate closely with product, architecture, and engineering teams to deliver scalable, reliable, and high\-impact solutions. What you will do **In this role, you will:** Build end to end fullstack applications using Python or TypeScript. Integrate Gen AI capabilities using LLM APIs and RAG architectures. Design and implement backend services using NestJS or Flask. Develop frontend experiences using React. Work with vector databases such as pgvector or similar technologies. Design and operate cloud infrastructure and CI/CD pipelines in Azure, AWS, or GCP. Implement monitoring, logging, and observability for production systems. Collaborate with PMs, architects, and engineers to define feasibility and delivery scope. Produce clear technical documentation and contribute to engineering best practices. Requirements **The top candidate will have the following skills:** Bachelor’s degree in CS, Engineering, or related, or equivalent practical experience. 5\+ years of experience as a Fullstack Developer. Strong experience with Python or TypeScript. Experience with open source AI models such as Llama, Deepseek, or similar models from Hugging Face Strong experience building modern frontends with React. Strong experience building APIs and backend services with NestJS or Flask. Hands\-on experience integrating LLM APIs and building RAG\-based systems. Experience working with vector databases such as pgvector or similar. Solid DevOps experience, including Docker, CI/CD, and cloud platforms. Ability to prototype quickly and work effectively in ambiguous environments. Experience building and scaling production systems end\-to\-end. Ideally, you have... Experience working in startup or fast\-paced product environments. Experience with open\-source AI models. Experience with MLOps or AI observability tooling. Prior consulting or customer\-facing delivery experience. Passion for applied AI, experimentation, and rapid iteration. Deep familiarity with at least one major cloud provider, Azure, AWS, or GCP. Our Values We are privileged to serve our loyal customer base in our mission to build lasting relationships with our clients based on trust and mutual success. We strive to deliver exceptional quality and consistency through a white\-glove approach. By empowering businesses with tailored solutions and insights, we help them achieve their goals and navigate the ever\-evolving tech landscape. **The values we live by:** Customer\-centric Solutions Innovation \& Excellence Integrity \& Transparency Data\-driven Decision Making 5 years