Principal AI-Native Software Engineer

Accountabilities

• • Own major product initiatives end to end, translating business and product requirements into technical specifications, architecture, implementation plans, production software, and ongoing improvements.
  • Partner closely with Product and Design to clarify requirements, identify dependencies and risks, evaluate tradeoffs, and ensure technical solutions address genuine customer and business needs.
  • Operate as an AI-native engineer using Claude Code as a primary development and orchestration environment, coordinating multiple agents, worktrees, branches, and development sessions in parallel.
  • Decompose complex engineering initiatives into well-defined workstreams that can be safely executed by AI agents while maintaining appropriate human oversight and architectural control.
  • Develop reusable AI-assisted engineering workflows, including skills, commands, hooks, context files, agent instructions, feedback loops, and verification processes.
  • Automate substantial portions of the product development lifecycle, including technical discovery, architecture, implementation, testing, security analysis, code review, pull-request creation, infrastructure provisioning, deployment, monitoring, documentation, and maintenance.
  • Establish quality gates and verification practices that ensure AI-generated work is tested, secure, maintainable, observable, and production-ready rather than accepted without critical review.
  • Review AI-generated code at a Principal or Staff engineering level, identifying unnecessary abstractions, excessive complexity, weak testing, security risks, oversized changes, and technically functional but poorly designed solutions.
  • Design, build, and maintain reliable software across backend services, APIs, databases, cloud infrastructure, integrations, mobile applications, internal tooling, and other areas as required.
  • Work across Ruby on Rails, TypeScript/Node.js, MongoDB, relational databases, AWS, GCP, and adjacent technologies, using AI to navigate unfamiliar systems and legacy codebases effectively.
  • Deploy and operate production systems while diagnosing complex issues across application code, infrastructure, data systems, third-party services, and development tooling.
  • Continue improving products after launch by incorporating customer feedback, usage data, defects, operational learnings, and evolving requirements.
  • Develop methods for measuring the quality, effectiveness, cost, and speed of AI-native engineering workflows and continuously improve the development system.

  Requirements

  • 8+ years of professional software development experience with significant Staff, Principal, or equivalent engineering-level responsibility.
  • Demonstrated ability to independently deliver complex production software while partnering effectively with Product and Design teams.
  • Expert-level Claude Code experience is mandatory, including substantial hands-on product development beyond autocomplete, isolated code generation, or basic prompting.
  • Proven experience coordinating multiple AI agents or development sessions, including agent context, skills, sub-agents, tool use, planning, verification, and orchestration.
  • Strong production experience with TypeScript/Node.js and both dynamic-language and strongly typed ecosystems.
  • Hands-on experience with MongoDB as well as relational databases such as PostgreSQL or MySQL.
  • Experience deploying and operating production software in distributed, cloud-based environments using platforms such as AWS and GCP, including service-oriented or microservice architectures.
  • Hands-on experience applying AI/ML in production, such as integrating LLMs into products, building retrieval or agentic systems, designing prompts and evaluations, or implementing model inference.
  • Extensive experience developing APIs and integrating with third-party APIs.
  • Strong knowledge of automated CI/CD pipelines and software testing strategies, including determining what, when, and how to test.
  • Ability to translate business and product requirements into clear technical requirements, architecture, and implementation plans.
  • Strong product judgment and the ability to understand user intent, identify edge cases, and recognize when an implementation does not satisfy the underlying requirement.
  • Deep understanding of software architecture, design, security, reliability, scalability, and maintainability.
  • Ability to critically evaluate AI-generated code and distinguish high-quality engineering from superficially functional output.
  • Comfort working across unfamiliar programming languages, frameworks, legacy systems, frontend, backend, mobile, infrastructure, and internal tooling.
  • Strong ownership, initiative, problem-solving ability, and bias toward building and delivering.
  • Excellent written and verbal communication skills, with the ability to explain technical requirements, constraints, implementation plans, and engineering decisions to both technical and business stakeholders.

  Benefits

  • Base salary range of $215,000–$250,000, with actual compensation determined by factors including skills, experience, location, budget, and internal equity.
  • Potential eligibility for bonuses, equity, or other forms of compensation, where applicable.
  • Comprehensive medical, dental, and vision insurance, with 80% of the cost covered, starting on day one.
  • 401(k) plan with employer matching.
  • 10 paid holidays, 20 vacation days, 5 sick days, and 3 floating holidays.
  • Basic Life and Accidental Death & Dismemberment Insurance, with 100% of the cost covered.
  • Short- and long-term disability coverage, with 100% of the cost covered.
  • Paid family leave and Employee Assistance Program.
  • Quarterly self-care stipends.
  • Optional pre-tax healthcare spending accounts, including FSA and HSA options.
  • Dependent Care FSA and commuter benefits.
  • Optional supplemental life, AD&D, hospital indemnity, legal, accident, critical illness, pet, and personal liability insurance.
  • Inclusive and accessible working environment with reasonable accommodations available throughout the recruiting and employment process.