Staff Software Engineer shaping reusable mobile, UI and backend architecture for Nu’s collections products. Enabling scalable, multi - market digital financial services across Latin America.
About the role
- Software Engineer building and scaling Yelp's telecom platform utilizing AI. Working on Twilio Flex and AWS, developing voice bots and backend services.
Responsibilities
- Build and scale Voice AI infrastructure: LLM-powered voice bots, real-time call transcription, and AI-generated call summaries using LiveKit, OpenAI, Deepgram, and Cartesia
- Develop custom Twilio Flex plugins (React/Node.js) that sales and CS reps use every day: autodialers, call controls, admin dashboards, CRM integrations
- Build backend services and APIs using Node.js, AWS Lambda, and DynamoDB that handle call routing, task management, and Salesforce reporting
- Manage cloud infrastructure with Terraform, Terragrunt, and Atlantis across Twilio and AWS environments
- Build new messaging capabilities (SMS, RCS) within Twilio Flex for customer communication
- Work closely with business partners across Sales, Customer Success, Collections, and Product to scope and deliver features that drive revenue
- Help keep the platform reliable through lightweight on-call/on-point rotations (production incidents are rare and the platform is stable)
Requirements
- Interest in or experience with AI/ML, especially conversational AI, voice technologies, or LLMs
- Strong experience with JavaScript/TypeScript and modern web development (React, Node.js)
- Experience building and running applications on AWS (Lambda, DynamoDB, S3, API Gateway, or similar services)
- Familiarity with infrastructure-as-code, ideally Terraform
- Comfortable working across the full stack: frontend, backend, and cloud infrastructure
- Good at debugging and working through problems across distributed systems that span multiple platforms
- Clear communicator who can work well with both engineers and non-technical business partners.
Benefits
- There may be flexibility with the range included in this posting should a candidate be leveled higher or lower than the posted range.
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