Company overview
This fast-growing AI company builds a platform that powers automated human-like conversations for large consumer brands across chat email and voice handling millions of support requests globally and around the clock. Its customers span travel events consumer apps wearables housing personal care logistics and industrial sectors where the product is used to deliver high-touch concierge-style customer support at scale. The business is well capitalized by top-tier venture investors and prominent startup founders and operates as an in-office organization with a culture centered on customer focus speed high performance and tight-knit collaboration.
Team
The team you would join is responsible for deploying production-critical AI systems that directly serve end users for enterprise customers and materially drive revenue and product adoption. Engineers work on top of a mature agent platform partner closely with external stakeholders and are encouraged to use creativity and experimentation to build durable scalable solutions to complex support and workflow problems. The groups mission is to deliver magical support experiences where automated agents work side-by-side with human operators to resolve issues quickly and effectively.
Role
In this position you will have broad ownership over the design implementation and continuous improvement of high-performing conversational agents from initial deployment through ongoing optimization. You will collaborate directly with senior leaders at companies in sectors like financial services health-related businesses and hospitality to understand their users needs and translate them into robust intuitive automated experiences. The environment suits someone who enjoys digging into challenging distributed systems and model-behavior problems and shipping elegant scalable solutions that touch millions of users.
Responsibilities
Design and implement automated agents that can exceed typical human-support performance on complex customer conversations and contribute meaningfully to user retention.
Analyze patterns across multiple customers to inform the evolution of the internal agent-building platform and to help steer applied research directions.
Prototype evaluate and productionize cutting-edge language and speech models integrating them into high-traffic enterprise-grade deployments.
Qualifications
5 years of professional software engineering experience ideally including work on large-scale backend or AI-driven systems.
Strong proficiency with Python and TypeScript including comfort with asynchronous programming and event-driven architectures.
High level of comfort debugging and resolving failures across deep complex technical stacks using whatever tools are necessary.
Nice to have
Benefits & compensation
Comprehensive medical dental and vision coverage.
Flexible take what you need approach to paid time off.
In-office perks such as daily meals and snacks to support focused high-energy work.
Target cash compensation in the range of $250K $315K plus an equity grant depending on experience and location.
Required Skills:
Software engineer
Required Education:
BS
Company overviewThis fast-growing AI company builds a platform that powers automated human-like conversations for large consumer brands across chat email and voice handling millions of support requests globally and around the clock. Its customers span travel events consumer apps wearables housing pe...
Company overview
This fast-growing AI company builds a platform that powers automated human-like conversations for large consumer brands across chat email and voice handling millions of support requests globally and around the clock. Its customers span travel events consumer apps wearables housing personal care logistics and industrial sectors where the product is used to deliver high-touch concierge-style customer support at scale. The business is well capitalized by top-tier venture investors and prominent startup founders and operates as an in-office organization with a culture centered on customer focus speed high performance and tight-knit collaboration.
Team
The team you would join is responsible for deploying production-critical AI systems that directly serve end users for enterprise customers and materially drive revenue and product adoption. Engineers work on top of a mature agent platform partner closely with external stakeholders and are encouraged to use creativity and experimentation to build durable scalable solutions to complex support and workflow problems. The groups mission is to deliver magical support experiences where automated agents work side-by-side with human operators to resolve issues quickly and effectively.
Role
In this position you will have broad ownership over the design implementation and continuous improvement of high-performing conversational agents from initial deployment through ongoing optimization. You will collaborate directly with senior leaders at companies in sectors like financial services health-related businesses and hospitality to understand their users needs and translate them into robust intuitive automated experiences. The environment suits someone who enjoys digging into challenging distributed systems and model-behavior problems and shipping elegant scalable solutions that touch millions of users.
Responsibilities
Design and implement automated agents that can exceed typical human-support performance on complex customer conversations and contribute meaningfully to user retention.
Analyze patterns across multiple customers to inform the evolution of the internal agent-building platform and to help steer applied research directions.
Prototype evaluate and productionize cutting-edge language and speech models integrating them into high-traffic enterprise-grade deployments.
Qualifications
5 years of professional software engineering experience ideally including work on large-scale backend or AI-driven systems.
Strong proficiency with Python and TypeScript including comfort with asynchronous programming and event-driven architectures.
High level of comfort debugging and resolving failures across deep complex technical stacks using whatever tools are necessary.
Nice to have
Benefits & compensation
Comprehensive medical dental and vision coverage.
Flexible take what you need approach to paid time off.
In-office perks such as daily meals and snacks to support focused high-energy work.
Target cash compensation in the range of $250K $315K plus an equity grant depending on experience and location.
Required Skills:
Software engineer
Required Education:
BS
View more
View less