Full-Stack AI Engineer (Front-End Leaning) at Inception Point AI | Torre
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Full-Stack AI Engineer (Front-End Leaning)

You'll define human-AI collaboration, building intuitive interfaces for unreleased technology.
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Full-time

Legal agreement: To be defined

Compensation
USD120k - 130k/year
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Remote (for United States residents)
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Emma of Torre.ai
about 2 months ago

Requirements and responsibilities


About Inception Point AIInception Point is an AI-first company focused on the cutting edge of media and software creation. We don’t just use AI; we build the interfaces that define how humans and agents collaborate. Through our partnerships with the NVIDIA Inception program and AWS, we work with technology that hasn't yet reached the public domain. We are building the "Glass" through which users interact with complex models, ensuring that the UI is fluid, conversational, and deeply intuitive.Role Overview:We are looking for a Full Stack AI Engineer who leans heavily into the Front-End and UX/UI experience. Currently, our internal tools lack the intuitiveness needed for our creative team to be fully self-sufficient. Your mission is to build and rebuild the front end of our tech stack, creating a seamless "Human-in-the-Loop" experience that allows our creative team to scale without constant manual intervention from engineering.Key ResponsibilitiesFront-End Leadership: Rebuild the front end of our tech stack and establish a long-term front-end strategy for the company.Product Usability: Design and develop UI/UX that is "customer-minded," making internal AI tools easy to use and intuitive for non-technical creative teams.Full Stack Execution: While front-end is the priority, you will act as a generalist, helping with data structures and back-end troubleshooting to ensure the platform is robust and scalable.AI Orchestration: Act as an "AI-forward" engineer, using AI as a pairing partner to accelerate development and building interfaces that dynamically adapt to LLM outputs.Technical Debt Reduction: Identify and resolve existing technical debt within our "Arc" platform to improve performance and reliability.The "Inception Point" StandardFront-End Expertise: Deep competency in at least one modern front-end framework (React, Tailwind CSS, or CSS) is required.Data Knowledge: Strong experience with data engineering and troubleshooting is a "humongous bonus" as you will eventually assist in scaling our data architecture.AI-First Mindset: You must be comfortable driving AI to do the work for you; we are looking for engineers who use AI to move faster, not those who are afraid of it.Startup Agility: You are comfortable working in a high-growth environment where documentation may be sparse and processes are still being defined.Ego-Free Collaboration: You are humble enough to collaborate with others but confident enough to question leadership to find the best solution.Technical Stack & RequirementsRequired: Experience building complex platform front ends, ideally for AI or high-interaction websites. Proficiency in React, Tailwind CSS, and/or modern CSS.Preferred: Knowledge of Node.js, Python (FastAPI), and WebSockets. Familiarity with Vector Databases and LLM APIs (OpenAI/Anthropic).We value knowledge and ability over years of experience; we are open to brilliant "straight out of college" candidates.Why Join Us?This is a "green field" opportunity to build the front-end discipline from the ground up at an AI-first company. You will work with unreleased technology from NVIDIA and AWS, significantly increasing your market value while building tools that define the future of media creation.Success Criteria (First 90 Days)30 Days: Complete onboarding and get fully up to speed on existing undocumented systems.60 Days: Begin shipping code for self-sustained special projects with a controlled "blast radius."90 Days: Integrate into the normal SDLC rhythm, producing outcomes that entice the creative team to use internal platforms autonomously.
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