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Our client is on a mission to revolutionize enterprise software efficiency — not by iterating on existing systems but by transcending them with seamless, intelligent AI workforce automation. Our platform replaces fragmented systems with a unified ecosystem of AI Agents and AI Teams that execute tasks cross-functionally, dramatically cutting tech and operational waste (by 30–40% within just 4–12 weeks). Backed by luminaries across AI and enterprise, we’re building the future of work: autonomous, scalable, and profoundly impactful.
Job Responsibility:
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, with tremendous scope and autonomy
Ensure that our platform delivers instant ROI and transformative efficiency to enterprises
Requirements:
Solid engineering experience (2–5+ years) 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
Nice to have:
Experience with AI marketplaces, “AI App Stores,” or generative agent frameworks
Previous exposure to agent orchestration, prompt engineering, or evaluation frameworks
Startup background, ideally with roles that combined engineering and product leadership