Responsibilities
- Architect and implement full lifecycle integrations connecting internal enterprise systems, data platforms, and SaaS tools with AI capabilities
- Collaborate directly with client teams to integrate AI functionality into current workflows, managing deployments from design to live operation and continuous refinement
- Construct and maintain API-based, event-driven integration pipelines, including deployment of agent-style, multi-step workflows across diverse software environments
- Build robust production systems that unify data retrieval, logical reasoning, and automated execution across complex enterprise infrastructures
- Apply advanced knowledge of large language models and AI system patterns to enhance system performance, security, and real-world business impact
- Diagnose and resolve technical issues across application interfaces, backend infrastructure, and third-party services to ensure system stability and scalability
- Create prototypes for novel integration approaches and develop standardized frameworks to speed up customer onboarding and deployment
Compensation
Competitive salary and equity offered based on experience
Work Arrangement
Hybrid work model with flexibility for remote and office-based collaboration
Team
Collaborative engineering team focused on applied AI and customer-driven product development
Partner with Sales and Product to unlock new use cases, drive expansion, and translate deployment learnings into product and platform improvements
Work cross-functionally with Sales and Product teams to identify new application scenarios, support account growth, and inform platform enhancements using field insights from live deployments
Visa sponsorship available for qualified candidates