FullStackAIEngineer

## Accountabilities Design, develop, and deploy AI-powered applications, agent-based systems, and full-stack solutions. Build and iterate rapidly on prototypes, proofs of concept, and minimum viable products to validate ideas and market opportunities. Experiment with AI frameworks, large language model technologies, open-source tools, and low-code platforms to deliver effective solutions. Collaborate directly with stakeholders to translate business needs and product concepts into scalable technical implementations. Contribute to the development and maintenance of shared libraries, reusable components, prompts, and internal frameworks. Support product launches and provide technical expertise across multiple projects when needed. Continuously optimize workflows, improve product performance, and identify opportunities for innovation. Requirements Proven experience developing applications using Python and modern AI tools, frameworks, and APIs. Strong background in building and rapidly iterating on MVPs, prototypes, or experimental products. Experience working with a combination of commercial AI services, open-source technologies, and automation tools. Excellent problem-solving abilities with strong analytical and critical-thinking skills. Ability to work independently in a remote, asynchronous, and high-autonomy environment. Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders. Experience with AI agents, vector databases, retrieval-augmented generation (RAG), or similar technologies is highly valued. Familiarity with frontend development technologies such as React, Next.js, or related frameworks is a plus. Background in STEM, data science, machine learning, or quantitative engineering disciplines is advantageous. Previous experience in startup environments, high-growth organizations, or founder-led teams is preferred. Benefits Competitive contract compensation during the initial evaluation peri