Staff Software Engineer
Standard Template Labs1 year ago
Base Salary
$160k - $230k/yr
Responsibilities
- Design and develop AI-native architectures embedding LLMs and intelligent automation into ITSM and CMDB workflows.
- Use LLMs, embeddings, and retrieval pipelines for natural language interfaces, knowledge synthesis, and platform reasoning.
- Collaborate with product, design, and data teams to integrate AI across backend systems and user-facing features.
- Own complex systems end to end, including design, architecture, deployment, scalability, and production reliability.
- Drive architectural decisions and define AI-first patterns for prompt orchestration, model integration, and continuous learning.
- Build and optimize distributed, event-driven systems and APIs that process data and inference at scale.
- Perform code reviews, performance tuning, and hands-on software development in high-traffic production environments.
- Mentor engineers, improve code quality, foster experimentation, and champion tools such as Cursor, Windsurf, and Claude.
Requirements
- 7+ years of professional software engineering experience 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 of Go, Python, Rust, or Java.
- Knowledge of Kubernetes, event-driven systems, and CI/CD best practices.
- Ability to explore, prototype, and ship quickly.
Benefits
- Equity and benefits package
- On-site work five days per week from the Flatiron District, Manhattan office
- Collaborative setting alongside the founding team with convenient public transportation access
Tech Stack
Categories
About Standard Template Labs
Standard Template Labs builds an AI-native service and configuration management platform for enterprises, designed to learn how work happens and automate coordination across teams. The product uses a graph-based architecture and is offered as enterprise software for IT operations and business process owners. The company is privately held, headquartered in New York, and founded in 2025.