Technical Co-founder; CTO - AI staffing platform Law Firms

Responsibilities

• Commitment as a Strategic Co-Founder:
  The successful candidate will operate as a dedicated partner focused on sustainable equity appreciation and long‑term organizational value, rather than prioritizing immediate high‑level compensation.
• Lead with Reliability over Novelty:
  Architect and maintain "Ava’s" voice and workflow systems with an obsessive focus on uptime and latency. You value a system that works every time over a "clever" demo that fails in the field.
• Architect the RaaS Delivery Layer:
  Design the internal infrastructure that enables our team to configure, monitor, and optimize AI performance behind the scenes, ensuring we scale the service without increasing engineering headcount.
• Own the Technical Unit Economics:
  Directly manage the trade‑offs between AI quality and cost‑per‑call. You are responsible for ensuring the technical architecture remains highly profitable within our $499/month pricing model.
• Exercise High‑Stakes Judgment:
  Navigate technical uncertainty with a steady hand. You are expected to say "this won’t scale" or "this isn’t ready" when necessary to protect the integrity of the product and the trust of our users.
• Drive a Deep Ownership Mindset:
  Take full accountability for the end‑to‑end technical lifecycle—from the first line of code to the final outcome of a live pilot—motivated by building a tool that lawyers depend on for their livelihood.
• Master Scope & Feasibility:
  Partner with the Founder to define the product roadmap, aggressively cutting features that threaten delivery or economics while doubling down on those that solve the lawyer’s "operational burden."
• Scale the Engineering Culture:
  Build and lead a lean, high‑leverage technical team. You will set the standard for code quality, logging, and audit trails so that every AI outcome is explainable and reviewable.
• Strategic Technical Storytelling:
  Act as the technical face of Lex Staffing during fundraising and due diligence, translating complex voice AI and telephony architecture into a compelling vision for investors and partners.

• 6+ years of hands‑on software engineering experience.
• Direct experience with voice systems, conversational AI, or real‑time AI workflows.
• Experience deploying LLM‑powered systems into production, not just prototypes.
• Capability to architect and implement the strategy for building and self‑hosting custom models over time to meet legal/privacy needs.
• Strong understanding of:
  • Reliability engineering
  • Human‑in‑the‑loop systems
  • Edge‑case management
• Experience building service‑heavy or managed platforms, not just pure SaaS.
• Comfort working closely with business leadership and owning delivery outcomes.
• Good to have:
  • Experience in legal tech, healthcare, or other trust‑sensitive verticals.
  • Experience running production systems with real‑world users under time pressure.
  • Prior founder or early‑stage leadership experience.

• A significant equity package:
  Participate in the upside of company growth as a co‑founding member
• Opportunity to build, grow and develop a team as the company grows.
• Shape the culture and technical direction of a venture with your contributions.
• Collaborate with talented peers:
  Work with a passionate and experienced team of entrepreneurs dedicated to building something unique and transformative.
• Continuous learning and growth:
  Engage in professional development and constant learning opportunities, expanding your skills while tackling challenging, meaningful projects.