
AI AGENT SOFTWARE ENGINEER (X2)
- On-site
- New York, New York, United States
- San Francisco, California, United States
+1 more- $200,000 - $250,000 per year
- Information Technology
Build production AI agents across voice and chat that handle real customer interactions at scale. Own systems end to end, work with Python and TypeScript, and ship high-impact AI solutions.
Job description
Overview
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.
Locations: San Francisco, CA and New York City, NY
What You’ll Do
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.
Job requirements
Qualifications
What You Bring
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 TypeScript, 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.
Additional Experience That Helps
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.
Perks and Benefits
Competitive salary with equity options for long-term ownership.
Comprehensive health benefits including medical, dental, and vision coverage.
Flexible paid time off with a take-what-you-need approach.
Daily lunch and snacks provided at the office.
A highly collaborative, engineer-led culture focused on iteration, learning, and technical excellence.
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