Software Engineer

The role

You will lead technical initiatives to build AI-native architectures and scalable distributed systems. You will design and develop systems that integrate LLMs, data-driven automation, and graph intelligence into enterprise workflows.

What you will do

• Design and develop AI-native architectures that embed LLMs and intelligent automation into ITSM and CMDB workflows.
• Leverage LLMs, embeddings, and retrieval pipelines to power natural language interfaces, knowledge synthesis, and reasoning.
• Collaborate with product, design, and data teams to infuse AI into the product experience.
• Own complex systems end-to-end including design, architecture, deployment, and production reliability.
• Drive architectural decisions balancing speed with scalability and maintainability.
• Define the AI-first engineering stack and patterns for prompt orchestration, model integration, and continuous learning.
• Write clean, scalable, and testable code.
• Design and optimize distributed, event-driven systems and APIs.
• Conduct deep-dive code reviews and performance tuning.
• Lead by example, uplifting code quality and mentoring engineers.

Required qualifications

• 7+ years of professional software engineering experience
• Deep expertise in distributed systems, cloud-native architecture, and API design.
• Experience mentoring engineers and guiding cross-functional teams.
• Strong proficiency in one or more modern programming languages (e.g., Go, Python, Rust, or Java).
• Knowledge of Kubernetes, event-driven systems, and CI/CD best practices.

Nice to have

• Hands-on experience with or strong interest in AI agents.
• Familiarity with prompt engineering, fine-tuning, and AI-powered developer tools.

Benefits

• Competitive compensation
• Equity
• Benefits package

About the company

STLabs is an AI service management platform that resolves employee requests end-to-end, grounded in a living model of the enterprise.