AI Agent Software Engineer

Job Description

This position offers the chance to directly influence the evolution of customer experience through the development of high-impact AI agents. These agents are designed to operate autonomously across multiple industries, from finance to healthcare to travel, delivering reliable support and intelligent action in place of traditional customer service teams.

You will be joining a group of engineers who focus on delivering real functionality. You will help build systems that not only respond but anticipate, interpret, and resolve complex customer needs. These AI agents handle real transactions and high-sensitivity tasks, from resetting passwords and updating personal details to navigating nuanced account issues or completing bookings.

This role emphasizes full-cycle ownership. You will take ideas from concept through design and into production. Engineers here work directly with customer-facing teams to gather context, identify pain points, and rapidly prototype improvements that make measurable differences. You will collaborate closely with other engineers, product managers, and operations teams to create agents that are resilient, clear in their logic, and deeply integrated with real-world workflows.

• Design and build AI-driven agents that can outperform human representatives in efficiency, accuracy, and user satisfaction across both voice and chat platforms
• Translate natural language instructions into structured workflows using a unique agent logic framework that blends linguistic flexibility with software-grade precision
• Analyze performance data to uncover trends and identify opportunities for large-scale improvements to both platform capabilities and agent behaviors
• Experiment with the latest advancements in voice and language models, integrating and tuning them for enterprise reliability, responsiveness, and language coverage
• Use real-time observability tools to trace every decision made by an agent, ensuring systems can be audited, understood, and rapidly improved without guesswork

• At least two years of experience as a professional software engineer, working on production systems with real users
• A high level of fluency in Python and Type Script, including comfort with asynchronous operations, error handling, and performance tuning
• Strong troubleshooting skills with the ability to dig into complex tech stacks and resolve problems using the best tool for the job, whether that’s a profiler, a log aggregator, or raw data inspection
• A proactive mindset and a deep curiosity about how AI agents think, how they fail, and how to make them more intelligent and dependable
• Open on programming language experience. Looking for people who have a computer science degree from a strong school.
• Willing to teach everything someone needs to know about AI.

• Exposure to multimodal AI systems or voice interface development
• Familiarity with enterprise-scale customer experience platforms or conversational automation frameworks
• Interest in designing tools that make agent behavior transparent, especially through visualization, testing, and simulation infrastructure

This is a role where engineering work has immediate, measurable impact. The systems you build will not only automate routine customer service tasks, they will help redefine how people interact with brands. You will be part of a team that believes great AI should be observable, transparent, and easy to iterate on. Every part of the stack is built for rapid development, detailed debugging, and meaningful improvement.

The platform architecture encourages experimentation and feedback-driven development. Agent behavior is defined using modular logic blocks that are visible, testable, and versioned. Engineers are empowered to propose and ship changes quickly. No need to wrangle a monolithic prompt or chase down unclear bugs. With tools like Trace View, you will know exactly how an agent made a decision, what data it used, and how long each part of the workflow took.

You will also be joining at a time of rapid momentum. This team has helped companies dramatically lower support…