Principal Software Engineer
Standard Template Labs8 months ago
Base Salary
$200k - $250k/yr
Responsibilities
- Architect the core intelligence layer of the platform, including data ingestion and real-time inference.
- Define integration of LLMs and predictive models across backend services and user experiences.
- Identify opportunities for AI to enhance decision-making and reduce operational toil.
- Lead architectural decisions regarding model selection and inference infrastructure.
- Establish best practices for AI-first engineering and continuous model monitoring.
- Build end-to-end AI-powered features from backend services to user-facing workflows.
- Design production-grade LLM and agent workflows for various applications.
- Develop scalable backend systems for high-throughput inference and vector search.
- Collaborate on frontend experiences to make AI outputs understandable for users.
- Implement retrieval-augmented generation pipelines and hybrid search systems.
- Write clean, production-quality code and promote AI-assisted development tools.
- Design data models and pipelines for learning and reasoning across the platform.
- Build distributed systems that are observable and cost-efficient under AI workloads.
- Partner with DevOps teams for deployment and monitoring of AI-driven services.
- Mentor engineers on full-stack AI patterns and system design.
- Lead architecture reviews focused on reliability and user trust.
- Influence engineering standards and culture within the team.
Requirements
- 10+ years of professional software engineering experience with technical leadership.
- Proven experience in architecting and shipping distributed systems with AI components.
- Hands-on experience with LLMs, embeddings, and model integration patterns.
- Strong system design skills across APIs, data modeling, and performance optimization.
- Comfort working across the stack, including backend and user-facing design.
- Proficiency in at least one modern programming language such as Go, Rust, or Python.
- Experience mentoring senior engineers and driving engineering best practices.
- Familiarity with AI-assisted development workflows and modern DevOps tooling.
Benefits
- Opportunity to architect foundational systems for an AI-first enterprise platform.
- Ownership over critical, high-impact systems that scale to millions of users.
- Culture that values craftsmanship, autonomy, and technical excellence.
- Competitive compensation, equity, and a comprehensive benefits package.