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About the Opportunity
Our client is a high-growth AI company offering a cloud-based SaaS platform that uses large language models (LLMs) to automate customer service across chat, email and social channels.
The platform helps global enterprises replace traditional support teams with intelligent AI agents capable of handling sensitive and complex customer needs.
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Requirements
You will be a highly analytical software engineer with an exceptional educational and professional background, strong problem-solving capabilities and the curiosity to understand how AI agents behave, learn and fail.
Essential skills and experience:
• Minimum 5 years’ professional software engineering experience, working on production-grade systems with real-world users
• Strong problem-solving and troubleshooting skills across complex technology stacks
• A Computer Science or Mathematics degree from a top-tier university
• A clear and consistent work history, with no more than one move every 2.5-3 years
• Experience gained within elite technology firms, such as Plaid, Moveworks, Roblox, MongoDB, Databricks, Two Sigma, Citadel, other similar organisations or quantitative finance competitors
• Curiosity and insight into how AI agents behave, learn and fail, combined with a strong desire to improve their intelligence and reliability
Nice-to-have skills and experience:
• Experience building voice interfaces or multimodal AI systems
• Familiarity with enterprise customer experience platforms or conversational automation tools
• An interest in developing visualisation and simulation tools to increase AI agent transparency
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Role & Responsibilities
As an AI Agent Software Engineer, you will design and build high-performance AI agents that deliver customer experiences that are more accurate, efficient and satisfying than their human counterparts.
You will work within a highly collaborative, engineer-led environment with full-cycle ownership, from initial idea through to production deployment. You will have a direct impact on how enterprise clients engage with their users. Your responsibilities will include:
• Designing and building AI agents operating across chat and voice, executing complex tasks with precision
• Translating natural language into structured, software-grade agent logic
• Analysing agent performance at scale to identify trends and opportunities for platform improvement
• Experimenting with the latest language and voice model advancements, tuning them for reliability and performance
• Using real-time observability tools, such as Trace View, to audit and improve agent decision-making with transparency
• Collaborating with product managers, customer-facing teams and fellow engineers to shape agent behaviour, improve outcomes and solve real-world problems
• Supporting enterprise use cases across sectors including finance, healthcare and travel
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Additional Details
Why This Role?
This is not a legacy code maintenance role. It is a greenfield opportunity to redefine how millions of people interact with technology through AI. You will join a team that values:
• Transparent and testable AI behaviour, with no monolithic prompts or guesswork
• Modular and auditable agent logic that is easy to version, debug and improve
• A fast feedback loop, with engineers working closely with customer teams to rapidly prototype and deploy improvements
You will help companies reduce support costs, increase satisfaction scores and scale customer support without increasing headcount.
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Perks & Benefits
• Highly competitive salary plus equity options
• Comprehensive health benefits, including medical, dental and vision
• Flexible PTO, allowing you to take the time you need
• Lunch and snacks provided daily
• A strong engineering culture focused on iteration, transparency and technical excellence
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What’s Ahead
This is your opportunity to help shape the future of AI-human interaction, building not only code but intelligent systems that solve meaningful problems with clarity, speed and empathy.
If you are driven by engineering that delivers real-world impact rather than vanity metrics, and thrive in an environment where you own your work from end to end, we want to hear from you.
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