Senior Full-Stack AI & Security Engineer

Dragonfli GroupNew York, NY
6hHybrid

About The Position

Dragonfli Group is seeking a Senior Full-Stack Engineer to serve as a dedicated managed resource on a long-term client engagement with a leading legal technology company operating at the intersection of AI and enterprise data trust. This role is a crucial member of the software engineer team and is embedded directly into the client’s product and operations team. The position spans full-stack product development, AI and LLM pipeline engineering, IT operations, and security-integrated development. You will operate under dual reporting: Dragonfli’s vCISO for security governance and the client’s operations lead for business and product priorities. This is not a staff augmentation seat. You will own workstreams, make technical decisions, and be accountable for delivery. To qualify for this role, you must have a minimum of 5+ years of professional software engineering experience. Location and Work Arrangement This is a hybrid role based in New York, NY. Client operates out of a location in New York. The expectation is regular on-site presence aligned with the client’s hybrid schedule. Candidates based elsewhere on the U.S. East Coast will be considered, with the understanding that periodic in-person presence in New York will be required.

Requirements

  • 5+ years of professional software engineering experience
  • Strong proficiency in TypeScript, React, and NextJS
  • Production experience with Node.js backend development
  • Demonstrated PostgreSQL expertise, including query optimization and schema design
  • Hands-on experience building and maintaining production LLM integrations (not theoretical or hobbyist)
  • Experience with event-driven architecture and background job frameworks (Inngest, Temporal, Bull, or equivalent)
  • Working knowledge of CI/CD pipelines (GitHub Actions, Vercel, or similar)
  • Comfort operating across the full stack, from database to deployment
  • Strong written communication skills; ability to document decisions and participate in asynchronous collaboration

Nice To Haves

  • Experience in legal technology, compliance-driven environments, or enterprise SaaS
  • Familiarity with SOC 2 compliance requirements and how they apply to development practices
  • Experience with identity platforms (WorkOS, Auth0, or equivalent)
  • Experience with high-performance frontend rendering (virtualized lists, large dataset visualization)
  • Familiarity with Google Workspace administration and macOS endpoint management
  • Experience with ElysiaJs, tRPC, or similar type-safe API frameworks
  • Master’s degree in Computer Science or related field

Responsibilities

  • Build and maintain user-facing features on client’s React, NextJS, and TypeScript frontend
  • Implement high-performance data visualization components capable of rendering thousands of UI elements using virtualized rendering techniques
  • Develop and maintain Node.js backend services, including API development, business logic, and data layer integration
  • Own PostgreSQL database management, including query optimization for performance-critical operations, schema management, and data integrity
  • Maintain and extend Inngest-powered background job infrastructure processing legal technology workloads
  • Build new event-driven background pipelines as product requirements evolve; monitor job execution for reliability and performance
  • Participate in sprint planning, code reviews, and feature delivery while adhering to secure coding standards
  • Continue development of client’s multi-step LLM pipelines, including AI judging workflows and real-time AI chat features
  • Design and iterate on prompt architectures for production AI features
  • Manage model response evaluation logic across multiple commercial LLM platforms (OpenAI, Anthropic, Gemini)
  • Implement streaming and real-time AI interactions within the application
  • Ensure all data exchange with external AI services is architected securely with appropriate access controls, logging, and data handling safeguards
  • Administer Google Workspace and WorkOS, including employee onboarding, offboarding, role-based access provisioning, and periodic access reviews
  • Manage client’s predominantly macOS and BYOD environment, including baseline security configurations and endpoint protection
  • Serve as liaison with WeWork and local providers for infrastructure-related needs
  • Own GitHub dependency patching and remediation of security findings identified through Vanta and the Vercel deployment pipeline
  • Prioritize vulnerability remediation based on severity, exploitability, and client-facing impact
  • Maintain and harden the GitHub-to-Vercel CI/CD pipeline, including branch protection policies, automated security scanning, and deployment access controls
  • Operate within the security governance framework established by Dragonfli’s vCISO

Benefits

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