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Popular AI engineer title plus broad full-stack and LLM skillset increases applicant competition.
Role requires ML/LLM experience and full-stack integrations, making cross-industry transfers moderately transferable.
Explicit 0-1 year requirement plus mandatory LLM, full-stack, and integration skills implies strict technical screening.
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Design and build AI-powered products from concept to production, including AI agents and multi-step workflows for real business use cases.
Integrate LLMs and other AI models using APIs, and develop full-stack AI applications involving backend systems, databases, and frontend user interfaces.
Evaluate and improve AI applications for performance, accuracy, reliability, latency, cost, and maintain them in production environments.
0-1 years of experience in AI application development, software engineering, or a related role.
Proficiency in Python and/or TypeScript with experience in full-stack frameworks such as FastAPI, Next.js, and React.
Hands-on experience with LLM APIs, prompt design, tool integrations, multi-step AI workflows, and use of REST APIs, OAuth, MCP, webhooks, databases.
Strong understanding of backend architecture, relational databases, authentication, and production application development.
Operationally skilled in transforming real business problems into reliable, scalable AI-driven applications involving multi-step workflows and integrations.
Comfortable working across the full stack—front end, backend, and infrastructure—with emphasis on usability and AI system performance.
Able to collaborate with cross-functional teams to translate product requirements into robust AI solutions, demonstrating product thinking and problem solving.