Founding Engineer

Our product Ava, is an AI Front Desk that answers calls 24/7, captures structured intake, books consultations, and performs outbound callbacks—without creating a new operational burden for the lawyer.

Lex Technologies (FutureSight Portfolio company) is the firm behind Ava that is building a managed AI staffing platform for solo practitioners and small law firms.

Lex Technologies is deliberately not a self-serve SaaS tool. It is a RaaS (Role-as-a-Service) model: Ava is positioned as a staff hire, fully set up, trained, monitored, and improved by LexStaffing. Lawyers evaluate us on outcomes—time saved, calls answered, consults booked—not configuration effort.

Problem and solution validation are complete. Multiple live pilots are entering production evaluation. The next phase is proving in-production technical reliability, delivery economics, and scalability.

The product is already validated conceptually. The challenge now is making it work flawlessly in production.

Roles & Responsibilities

• Execute the "Ava" Core Engine: Build and maintain the end-to-end inbound and outbound call workflows, ensuring that STT, LLM orchestration, and TTS work in a tight, low-latency loop.
• Architect Internal High-Leverage Tools: Develop the "Ava Hub"—the internal mission control that allows our non-technical team to tune scripts, review outcomes, and adjust AI behavior without needing a deploy.
• Own Production Observability: Build the logging, alerting, and audit trails necessary to provide lawyers with total transparency into how Ava is representing their firm.

• Partner with Leadership: Work directly with the CTO and Founder to translate pilot feedback into production-ready features, moving with the speed and pragmatism required in an early-stage startup.

Requirements

Must have

• 5+ years of professional software engineering experience.
• Experience building and shipping production systems.
• Proficiency with: Python, Javascript / Typescript, PostgreSQL/ MySQL and GCP or equivalent
• Comfort working across the full stack—backend, front end, database management systems
• Startup or early-stage experience is strongly preferred.
• Must have a bachelor's degree in Engineering (Computer Science/ Information Science/ Information Technology) preferred

Good to have

• Familiarity with Conversational AI with voice agents or call-center systems.
• Familiarity with:
• OpenAI / Anthropic or similar LLM APIs
• Twilio APIs, Speech-to-Text, and Text-to-Speech
• Event-driven systems
• Failure handling and retries
• Modern coding agents (Claude Code / Vercel)
• Experience with DevOps in a cloud environment

Benefits

• Early equity with real upside: Receive meaningful equity as one of the earliest engineers, with the opportunity to grow into long-term ownership as the company scales.
• Hands-on ownership from day one: Work on core product features and systems end-to-end, with increasing responsibility and autonomy as the business grows.
• Step into a founding role: Transition to early technical leader, gaining exposure to product decisions, customer feedback, and startup execution.
• Career acceleration: Develop skills beyond pure engineering—architecture, product thinking, and early-stage problem solving—at a pace unmatched in larger companies.
• Close collaboration with founders: Work directly with experienced founders and operators, learning how early-stage companies are built from the inside.
• Strong mentorship and growth: Learn alongside ambitious builders in a high-trust environment that values curiosity, ownership, and continuous improvement.