### About the Role
Apten is an omni-channel AI agent that automates sales and marketing conversations with millions of leads across SMS, voice, and email. Apten communicates **exactly like a human** — dynamically switching between channels, personalizing every follow-up, and proactively using tools (CRMs, schedulers, lead systems) in-conversation. We are **profitable, well-funded, and growing fast**. We’re now scaling rapidly and looking for our second **full stack software engineer** to join us. You’ll work directly with the founding team to build core product experiences and infrastructure — from high-throughput message pipelines to voice bots, workflow builders, context management systems, AI-driven orchestration, and self-improvement systems. This is an opportunity to own critical systems and shape the product and culture from the ground up.
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### What You’ll Do
- **Own and ship core features** across the stack — from React frontends to AWS-based APIs, Lambdas, and microservices
- **Work directly with enterprises** to build AI agents, and the data flywheels needed to give them proper context
- **Build scalable infra** for messaging, AI inference, and automation at high volume
- **Experimental work** - turn Apten into a self-improving, high-performance sales/marketing agent. 100% ownership, 0 bureaucracy
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### What We’re Looking For
- **Curiosity and drive to figure things out** — whether debugging a scaling issue or building something completely new
- Experience building and shipping production software (or equivalent skill) - personal projects are OK
- Experience with **TypeScript**, **React**, and **AWS (Lambda, ECS, DynamoDB, SQS, CDK, etc.)**
- Strong product sense — able to make pragmatic tradeoffs, prioritize for impact, and ship fast
- Comfortable working across the stack (frontend → backend → infra)
- Previous startup or early-stage experience a plus
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### Bonus Points
- Experience working with LLMs
- Experience with event-driven architectures and async workflows
- Strong interest in AI-powered automation and conversational systems
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