Software Engineer

About the role

STLabs is an AI service management platform that resolves employee requests end-to-end, grounded in a living model of the enterprise. This matters because we're able to resolve requests with full context - the people, systems, services, and policies that define how an organization actually runs. Requests that used to take days of back-and-forth resolve in minutes, right where employees already work

About the Role: We’re looking for a Software Engineer who thrives at the intersection of AI systems design, large-scale distributed infrastructure, and product innovation. You’ll lead technical initiatives that bring AI-native capabilities to life—building resilient, scalable systems that integrate LLMs, data-driven automation, and graph intelligence into enterprise workflows.

This is a hands-on leadership role for someone who codes deeply, mentors effectively, and loves shaping technical strategy in an AI-first environment.

Responsibilities:

- AI-Driven Systems Engineering - 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 within our platform. - Collaborate with product, design, and data teams to infuse AI into every layer of the product experience—from backend systems to user-facing features.

- Technical Ownership - Own complex systems end-to-end: design, architecture, deployment, and production reliability. - Drive architectural decisions balancing near-term speed with long-term scalability and maintainability. - Help define our AI-first engineering stack and patterns for prompt orchestration, model integration, and continuous learning.

- Hands-On Engineering - Write clean, scalable, and testable code that pushes the boundaries of AI-enabled systems. - Design and optimize distributed, event-driven systems and APIs that handle data and inference at scale. - Conduct deep-dive code reviews and performance tuning across high-traffic, production environments.

- Leadership and Mentorship - Lead by example—uplifting code quality, fostering a culture of experimentation, and mentoring engineers in AI-augmented workflows.

Qualifications:

- 7+ years of professional software engineering experience, with a record of delivering large-scale, high-impact systems.

- Deep expertise in distributed systems, cloud-native architecture, and API design.

- Hands-on experience with or strong interest in AI agents.

- Familiarity with prompt engineering, fine-tuning, and AI-powered developer tools.

- Experience mentoring engineers and guiding cross-functional teams toward technical excellence.

- 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.