AI Full-Stack Engineer

• *Company Description

T3 partners with organizations deploying production AI systems in high-risk environments where model or system failures could have significant regulatory, operational, or safety implications. As experts in AI standards and governance, T3 offers assurance services to some of the most complex Big Tech organizations globally. Our support spans the entire AI lifecycle, including use case development, risk assessment, deployment, and ongoing monitoring.

With expertise in evaluating large language models, decision systems, and AI-enabled workflows, we ensure that AI systems are robust, compliant, and resilient in real-world applications. T3 specializes in building defensible and explainable AI systems, emphasizing compliance, auditability, and human-in-the-loop frameworks.

• *Role Summary
• *Build an AI-powered decision platform from the ground up. Own the architecture, product implementation, and AI systems that power comparison, evaluation, and recommendations.
• *Core Mission
• *Create a scalable product that helps teams assess software tools through structured evaluation, AI-assisted analysis, and decision support.
• *Responsibilities
• Design and build the full-stack product across frontend, backend, and APIs
• Develop AI-powered workflows for analysis, ranking, summarization, and recommendations
• Build evaluation pipelines to compare tool outputs across quality, speed, cost, and reliability
• Integrate LLM APIs, external data sources, and third-party services
• Design systems for prompt management, output testing, and model performance monitoring
• Build dashboards for insights, scoring, and usage patterns
• Ensure reliability, security, scalability, and production readiness
• Work closely with product and design to turn complex workflows into simple user experiences
• *Core Engineering Skills
• Strong full-stack development experience, such as TypeScript, React, and Node.js
• Backend architecture and API design
• Database design for structured and unstructured data
• Experience integrating AI and LLM APIs into production systems
• Familiarity with prompt design, evaluation frameworks, and output comparison
• Ability to build systems that handle reliability, latency, and cost tradeoffs in AI features
• Cloud infrastructure, deployment, and CI/CD experience
• *Nice to Have
• Experience building AI-first or workflow automation products
• Experience with retrieval, ranking, or recommendation systems
• Familiarity with human-in-the-loop review flows
• Experience in early-stage 0 to 1 product environments
• *Success Metrics
• Speed and quality of shipping core product features
• Reliability and scalability of AI-powered workflows
• Accuracy and usefulness of evaluation and recommendation systems
• Strong user adoption of core decision-support features
• *Reporting Line
• *Founders / Product Lead
• *Here’s an even shorter version if you want it sharper for a job post:
• *Founding AI Full-Stack Engineer
• Build an AI-powered decision platform from scratch. You’ll own the full stack, core architecture, and AI systems behind analysis, evaluation, and recommendations. Looking for strong experience in full-stack development, API design, cloud infrastructure, and production use of LLMs, including prompt design, evaluation, and reliability tradeoffs. Ideal candidates have built AI-first products, data-driven workflows, or**