Staff Software Engineer – AI-Native Engineering

This is a fully remote position, open to applicants in Texas.

📋 Description

• Oversee the design and execution of intricate, cross-functional features from architecture to production operations.

• Develop AI-native functionalities such as agent loops, tool integrations, prompt and context layers, grounded retrieval, and evaluation harnesses.

• Establish and promote the use of AI in areas like code generation, test automation, review, triage, and documentation.

• Assess the impact of AI-driven development practices and disseminate effective methodologies.

• Provide mentorship to senior and mid-level engineers.

• Set benchmarks for code quality, observability, and safe AI implementation.

• Collaborate with product, UX, and engineering leaders to transform ambiguous challenges into defined, deliverable plans.

• Take ownership of production quality, which includes defect triage, release readiness, and gate reviews.

⛳️ Requirements

• Proven experience in utilizing or thoughtfully integrating AI into workflows, decision-making processes, or problem-solving scenarios.

• Current, practical expertise in AI-assisted and agentic development.

• A minimum of 8 years of experience in software engineering.

• Demonstrated history of technical leadership at a staff level or equivalent.

• Strong command of TypeScript or another statically typed programming language.

• Proficient in system design principles.

• Practical experience in developing or integrating LLM-based features, including prompt design, retrieval or context management, evaluation, and considerations of cost and latency.

• Familiarity with agentic architectures, encompassing tool utilization, orchestration, and human-in-the-loop controls.

• Excellent written and verbal communication skills, including the ability to brief senior leaders and align multiple teams.

• Knowledge of enterprise SaaS, multi-tenant systems, and secure, compliant software delivery practices.

🏝️ Benefits

• Flexible or remote work persona.

• Flexible and trust-based distributed work methodology.

• Reasonable accommodations provided during the application process.