Job postings in plain English

Overview

We are looking for a Full Stack AI Engineer to join our Agentic AI team. In this role, you will design and build scalable systems that power conversational AI agents and orchestrate agentic workflows.

You'll work across the stack—front-end, back-end, and cloud—while leveraging AI coding assistants and modern agentic frameworks to deliver enterprise-grade solutions. A key part of your responsibilities will include developing and automating evals to rigorously test Agentic AI applications for performance, reliability, and safety.

About The Team

Our Agentic AI team is pioneering agentic AI development in the prop tech domain. We build extensive Agentic AI solutions spanning across multiple B2B and B2C use cases. Our mission is to deliver intelligent, autonomous systems that improve engagement, reduce operational overhead, and ensure compliance and quality.

This team has been coming to our HQ one week out of the month - it will be expected that you will travel to the corporate HQ from time to time.

Responsibilities

• Build and orchestrate AI agents end-to-end: design tasks, tools, memory, planning, and guardrails; implement agent workflows using modern agentic frameworks (e.g., LangChain, Agents SDKs).
• Clear communication and cross-functional collaboration with Product, QA, Support, Design and our Customers to deliver outcomes; communicate technical decisions and trade-offs clearly to both technical and non-technical stakeholders.
• Develop with AI coding assistants (e.g., Copilot-style tools) to accelerate delivery while ensuring output meets enterprise design, coding, security, reliability, performance, and compliance standards. Ensure you do not over-engineer solutions. Manage coding agents.
• Design the visual style, interface and interaction flow of applications and experiences that adhere to design standards and the patterns of a design system.
• Develop conceptual diagrams, wireframes, visual mockups and prototypes to articulate your vision for the desired outcomes and develop solutions that clearly formulate and test hypotheses.

Minimum Qualifications

• Bachelor's degree in human computer interaction, human factors engineering, computer science, visual design, library sciences or other related discipline, or equivalent experience or training.
• 5+ years of experience as a UX practitioner with a background in user experience design, interaction design or similar.
• Experience with accessibility standards, including WCAG 2.0+ company compliance, localization and inclusive design.
• Ability to adopt and contribute to design systems and standardization across the enterprise.