Full Stack AI Engineer – AI Acquisition

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G2i Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

🏢 Enterprise

☁️ SaaS

Recruitment • Enterprise • SaaS

G2i Inc. is a video-based platform specializing in the hiring of contract or full-time engineers. With a vast pool of over 8,000 engineers, G2i offers quality matches quickly by customizing its sourcing process based on client needs. They provide a 7-day free trial to engage potential hires before making a commitment. The platform emphasizes speed and quality, utilizing video assessments and AI training to ensure engineers meet specific technical standards. G2i handles compliance, international payments, and background checks, providing a streamlined hiring process for companies looking to hire in the US, Canada, Latin America, or Europe. By focusing on technical roles such as JavaScript, Python, iOS, Android, and AI engineers, G2i ensures companies can hire top talent efficiently.

📋 Description

• You'll own product areas end-to-end — architecture, implementation, and iteration — across our agent platform. • That means building and maintaining core application infrastructure in React, Next.js, TypeScript, Node, and PostgreSQL. • Designing the AI layer that makes our agents actually work: multi-model orchestration, RAG pipelines and vector databases, semantic memory, prompt caching strategies, and token usage tracking. • Build and maintain eval and testing harnesses to keep agent behavior reliable as models and prompts evolve. • Work closely with the founding team to translate fuzzy product ideas into shipped, working systems.

🎯 Requirements

• Strong senior full-stack experience with real depth in React, Next.js, TypeScript, Node, and PostgreSQL — not just familiarity, but the ability to make sound architectural calls under ambiguity. • Hands-on experience building production AI systems: agentic workflows, multi-model orchestration, RAG/vector databases, prompt caching, semantic memory, token tracking, and eval/testing frameworks. • A track record of owning a product area solo or near-solo — whether that's a startup, a side project that went somewhere, or being the de facto AI architect on a small team. • Strong systems thinking and adaptable problem-solving; you can reason about tradeoffs across the stack, not just within your usual lane. • Clear, direct communication — you ask good questions, explain your thinking step by step, and aren't precious about being right. • An AI-native development mindset: you're already building with AI tools, not just bolting AI features onto existing products. • Genuine excitement about async, distributed work and a small, fast-moving team.