Staff AI Systems Engineer - AI-Native, Scalable Infra

ST Labs Pvt Ltd.; New York (NY); On-site; USD 160,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Benefits package

On-site in Midtown Manhattan

Job summary

STLabs is seeking a Staff Software Engineer to lead AI-native system design and large-scale distributed infrastructure. You will build AI-driven architectures, embed LLMs in ITSM/CMDB workflows, and drive scalable, reliable platforms.

This hands-on leadership role emphasizes mentoring, code quality, and rapid delivery in an AI-focused environment. You will collaborate with product, design, and data teams to infuse AI across the product stack, shaping the AI-first engineering stack and deployment

Qualifications

• 7+ years of professional software engineering experience delivering large-scale systems.
• Deep expertise in distributed systems, cloud-native architecture, and API design.
• Hands-on experience with LLMs, embeddings, AI tooling, and AI-powered developer tools.
• Familiarity with prompt engineering, fine-tuning, and AI-enabled workflows.
• Experience mentoring engineers and guiding cross-functional teams to technical excellence.
• Strong proficiency in Go, Python, Rust, or Java.
• Knowledge of Kubernetes, event-driven systems, and CI/CD best practices.

Responsibilities

• Design and develop AI-native architectures embedding LLMs and intelligent automation into ITSM and CMDB workflows.
• Own complex systems end-to-end: design, deployment, and production reliability; drive scalable architecture decisions.
• Write clean, scalable code for AI-enabled systems and design distributed, event-driven APIs.
• Lead by example, mentor engineers, and champion AI tooling adoption within the team.

Skills

Distributed systems

Cloud-native architecture

API design

AI tooling

Mentoring engineers

Kubernetes

CI/CD

Go / Python

Tools

Cursor

Windsurf

Claude

Job description

STLabs is seeking a Staff Software Engineer to lead AI-native system design and large-scale distributed infrastructure. You will build AI-driven architectures, embed LLMs in ITSM/CMDB workflows, and drive scalable, reliable platforms.

This hands-on leadership role emphasizes mentoring, code quality, and rapid delivery in an AI-focused environment. You will collaborate with product, design, and data teams to infuse AI across the product stack, shaping the AI-first engineering stack and deployment