
Founding AI Engineer
Overview
Our client is on a mission to revolutionize enterprise software efficiency with seamless, intelligent AI workforce automation.
Job Description
Our client is building a unified ecosystem of AI Agents and AI Teams to replace fragmented systems, dramatically cutting tech and operational waste.
Responsibilities
- - 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.
Required Skills
- - 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.
Benefits
- - Significant Equity (~4%) in an early-stage startup — you're joining early, owning impact.
- - Radical Mission — we're not just optimizing; we're redefining enterprise software completely.
- - Autonomy + Influence — you'll shape architecture, product, and deployment strategy.
- - Remote-friendly in Europe, with a passionate, mission-aligned leadership team.
About the company
G2i is a video-based hiring platform that helps companies hire world-class remote engineers across North America, Latin America, and Europe—often in days, not months. By replacing noisy resume screens with knockout questions, live technical interviews, and AI-powered hiring infrastructure, G2i dramatically increases signal and speeds up hiring for teams that need to move fast. Trusted by FAANG companies and high-growth startups alike, G2i offers access to a rigorously vetted network of 8,000+ engineers and builds custom talent pipelines for teams scaling quickly, all with a singular focus on quality, speed, and execution.
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