Senior Engineer, AI-Native Development (Ranking Copilot)

• Moving from manual in-IDE prompting to autonomous agent execution, where agents own tasks end-to-end under human supervision.
• Development driven by clear specifications and acceptance criteria rather than ad-hoc prompts.
• Shift-Left QA: Verification logic and test cases are designed before implementation begins.
• Deterministic checks, linters, and architectural constraints replacing unnecessary human code review loops.
• Turning repetitive dev tasks into reusable AI skills, workflows, and automated pipelines.
• Systematically converting individual learning and corrections into shared tooling for the whole team.

• →Audit & Blueprint: Assess current development and QA workflows, then design and execute a staged plan for the team's AI-native transformation.
• →Hands-on Leadership: Work alongside our existing full-stack engineers to establish new conventions, raise engineering standards, and upscale the team.
• →Tooling & Orchestration: Implement and own agentic workflows, moving the stack beyond basic copilots toward fully autonomous execution.
• →Architecture & Scale: Refactor and upgrade the core system architecture to handle a 5–10x increase in multi-tenant load and organizational scale.
• →Process Automation: Automate key high-effort operational tasks (e.g., automated pitch and proposal generation) currently handled manually by company leadership.
• →Deliver Measurable Results: Establish clear milestones to demonstrate tangible velocity and quality gains within the first 1–3 months.

• Technical Leadership: 5+ years of experience in Senior, Staff, or Tech Lead roles within product companies.
• AI-Native Expertise: Practical experience designing, building, or adopting agentic workflows across a team (beyond personal use of AI assistants).
• Strong Engineering Background: Full-stack or backend focus with a deep understanding of modern web ecosystems (Core: Node.js / TypeScript).
• Product & Business Mindset: Comfortable making autonomous technical decisions that balance business priorities with long-term engineering health.
• Architectural Scaling: Proven track record of refactoring systems for high availability, multi-tenancy, and performance.
• Startup Drive: Comfortable navigating an active transformation phase with high autonomy and fast iteration cycles.

Tech Stack & Tooling

• Core: TypeScript, Node.js, React, Next.js, NestJS
• Infrastructure: Cloud (GCP / Azure), GitHub Actions, Docker
• AI Tooling: Claude Code, Cursor, custom agent frameworks / orchestration workflows