Full Stack Engineer (NYC, Austin or Remote US)
Trunk ToolsFull Time
Mid-level (3 to 4 years)
The ideal candidate has 3+ years of experience building with Node.js, React, TypeScript, and Express. Proficiency in PostgreSQL, Redis, and cloud environments like AWS (Fargate, Lambda, EC2, SQS) is required. Familiarity with CI/CD tools such as CodePipeline or GitHub Actions, and experience with microservices and scalable systems are also necessary. A product-driven mindset and comfort with AI tools like Cursor and Claude Code are essential. Bonus points for experience with Next.js, Python, event-driven architectures, or infra-as-code tools like Terraform or CDK, and production LLM integration.
The Fullstack Software Engineer will design, build, and maintain scalable features across the entire stack, including frontend, backend, and infrastructure. They will collaborate with the Product team to define and execute an iterative roadmap, integrating cutting-edge LLM capabilities into enterprise customer support workflows. Responsibilities include solving complex engineering challenges related to API performance and microservices architecture, maintaining and improving cloud infrastructure with a DevOps mindset, and taking ownership of projects from inception to production.
Autonomous AI customer service platform for e-commerce
Siena AI offers an autonomous customer service platform tailored for the commerce sector, enabling businesses to implement AI-driven support with ease. The platform integrates with existing help desk systems, allowing merchants and brands in the e-commerce market to provide timely and accurate customer service. Siena's technology utilizes advanced models from OpenAI, delivering human-like responses and cognitive reasoning capabilities. The company operates on a subscription-based model, offering various service tiers that cater to different business needs, including features like smart routing and the Siena Copilot for human agents. A key differentiator for Siena is its commitment to data security; it does not train its models on client data, ensuring the protection of sensitive information. The goal of Siena AI is to enhance customer support efficiency and accuracy for e-commerce businesses while maintaining a strong focus on privacy.