Senior AI-Native Backend Engineer

Standard Template Labs; New York (NY); Sur place; USD 160 000 - 230 000; Plein temps

Avantages offerts par ce poste

Equity

Benefits package

On-site office

Résumé du poste

Standard Template Labs in Midtown Manhattan is seeking a Senior Software Engineer to build AI-native, scalable systems for enterprise IT service management. You will shape architecture, integrate large language models, knowledge graphs, and intelligent workflows into the platform.

This hands-on role requires deep coding, system thinking, and collaboration across product, design, and data teams to deliver high-impact AI-powered features with strong security and observability.

Qualifications

• Strong backend and API design experience in production SaaS.
• Familiar with distributed systems and modern backend languages.
• Knowledge of frontend frameworks and UI integration is a plus.
• Experience with NoSQL and graph databases.
• Cloud platforms, containers, and IaC tooling experience.

Responsabilités

• Take end-to-end ownership of complex features and systems—from architecture and implementation to deployment and observability.
• Design and evolve AI-native services that embed LLMs into product workflows.
• Collaborate with product, design, and data teams to integrate AI-powered intelligence into user and developer experiences.
• Drive architectural decisions balancing rapid experimentation with long-term scalability and reliability.
• Lead backend services, APIs (REST/GraphQL), and data infrastructure.
• Own full stack delivery when needed, connecting frontend UI with backend systems.

Connaissances

Backend languages

API design

Frontend frameworks

NoSQL/Graph DBs

Cloud & DevOps

AI/LLM integration

Security & Compliance

Outils

Docker

Kubernetes

Terraform

REST/GraphQL

Description du poste

Standard Template Labs in Midtown Manhattan is seeking a Senior Software Engineer to build AI-native, scalable systems for enterprise IT service management. You will shape architecture, integrate large language models, knowledge graphs, and intelligent workflows into the platform.

This hands-on role requires deep coding, system thinking, and collaboration across product, design, and data teams to deliver high-impact AI-powered features with strong security and observability.