Senior AI Full Stack Developer

Role Overview: We are seeking a senior-level AI Full Stack Developer to take ownership of our codebase integrity. As the Lead Developer, you will play a key role in designing, developing, and modernizing distributed systems, while remaining hands-on and contributing directly to code. Being a part of a tight-knit development team, you will also lead technical audits across our modern tech stack, ensuring that every layer, from database schemas to user interfaces, adheres to the highest standards of security and performance. You will need to leverage AI-assisted development tools to improve productivity and code quality where appropriate. This is an opportunity to take the lead in the technical and AI driven direction of the platform, lead architecture decisions for new features, maintain high code quality across the codebase, and collaborate closely with leadership on product strategy and scaling decisions. Key Responsibilities: Code Stewardship: Deeply analyze existing codebases to identify design flaws, performance bottlenecks, and security risks (e.g., OWASP vulnerabilities). Architecture Review: Evaluate database migrations, API designs, and microservices to ensure they support long-term scalability and reliability. Quality Enforcement: Establish and enforce engineering best practices for testing (Unit, Integration, E2E) and automated CI/CD pipelines. Security: Implement and maintain secure coding practices, access controls, and logging systems to support SOC 2 compliance Mentorship & Reviews: Lead code reviews for other engineers, providing constructive feedback to improve overall team output. Required Skills & Qualifications: Experience: 4+ years of professional development experience, with 2+ years in a senior or lead full-stack role. Including demonstrated use of AI-assisted development tools. Tech Stack: Expert proficiency in Next.js, React, and TypeScript. Infrastructure: Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Databases: Advanced knowledge of SQL (PostgreSQL and PostGIS) schema design and optimization. Education: A bachelor’s degree in Computer Science or Software Engineering is typically required. AI Coding Capability: A high level of capability in AI-assisted coding and code editing is required. API & Webhook Integrity: Audit the reliability of Google and Meta Ads integrations to ensure lead attribution data is captured accurately without latency. CRM Data Orchestration: Review the system design for lead-to-deal workflows, ensuring state management across CRM and Calendar modules is atomic and prevents race conditions. Security & Compliance Audit: Validate the cryptographic integrity of eSignature and transaction rooms, ensuring SOC2 and GDPR compliance for sensitive legal documents. Performance Bottleneck Identification: Profile high-traffic lead generation funnels to optimize database indexing and front-end rendering under heavy load. Preferred Attributes: System Architecture: Proven experience building scalable platform architectures that handle real-time synchronization between disparate modules (Marketing → CRM → Signature). Integration Expertise: Deep knowledge of OAuth, Stripe/payment integrations, and third-party API rate-limiting strategies. Security First: Expertise in Row Level Security (RLS) and data isolation to prevent cross-tenant data leaks in the CRM or eSignature vault. Auditor Mindset: Strong attention to detail in code quality and system design. Certifications: Relevant security or audit certifications like CISA or CISSP are a strong plus. Compensation & Work Structure: Base salary starting at $90,000, depending on experience. Performance Bonus: This role includes a scaled performance-based bonus structure tied to measurable technical outcomes, platform performance improvements, and key engineering milestones. The bonus structure will be negotiated and agreed upon between the parties. Flexible Engagement Options: We are open to discussing fractional or hybrid engagement structures for highly qualified candidates. This may include part-time or advisory participation depending on the candidate’s expertise and availability.