Staff Software Engineer

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

• 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.

• 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.

• 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.

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

• Champion best practices in AI tooling adoption (e.g., Cursor, Windsurf, Claude) to enhance team productivity and creativity.

• 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 LLMs, vector databases, embeddings, or AI agent frameworks.

• 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.

• A builder’s mindset: eager to explore, prototype, and ship fast.