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Early-career AI generalist with LLM and fullstack skills attracts moderate applicant competition.
Skills (Python, REST, React, LLMs, vector DBs) are transferable across industries but require AI-specific experience.
Explicit 1–2 year requirement plus specific LLM, Python, backend and frontend skills enforce moderate selection filters.
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Develop and maintain AI-native applications end-to-end, including backend APIs and frontend components.
Integrate and deploy LLM APIs (OpenAI, Claude, Hugging Face) into real-world AI features such as dashboards and internal tools.
Rapidly prototype and iterate AI-powered solutions collaborating with AI/ML engineers, product, and business teams.
1–2 years of experience in software development, AI/ML, or related roles; strong internships considered.
Proficient in Python with experience using backend frameworks like FastAPI or Flask.
Working knowledge of frontend frameworks such as React or Next.js.
Hands-on experience with LLM APIs and knowledge of prompt engineering, RAG workflows, embeddings, and vector databases.
Comfortable working across backend, frontend, and AI integration with ability to ship features end-to-end under guidance.
Experience integrating multiple AI tools and rapid prototyping in a product-focused environment.
Familiarity with REST API development, database management (PostgreSQL, Supabase), and AI workflow debugging.