About the job
On the Agent Engineering team, you’ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents. Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.
Responsibilities
Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
Identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research efforts
Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers
Qualifications
Minimum
Have 8+ years of industry experience in software engineering
Proficiency with Python, Typescript and asynchronous programming
A high degree of comfort digging into system failures within deep technology stacks using any tool necessary
Preferred
Prior experience working with multi-modal models