AI Engineer

2–5+ years of solid engineering experience with strengths in Python and full-stack development. Hands-on experience building AI agents, multi-agent systems, or LLM-powered workflows. Familiarity with deployment tooling, orchestration, model integration, or RAG-style pipelines. Excitement for solving tough problems in fast-paced, early-stage environments. Experience with AI marketplaces, “AI App Stores,” or generative agent frameworks (Nice-to-Have). Previous exposure to agent orchestration, prompt engineering, or evaluation frameworks (Nice-to-Have). Startup background, ideally with roles that combined engineering and product leadership (Nice-to-Have).

Architect and build AI Agent and multi-agent systems using LLMs and Python-based frameworks. Develop full-stack features—from model orchestration to production deployment. Own and shape technical direction alongside leadership. Ensure the platform delivers instant ROI and transformative efficiency to enterprises.