Founding Engineer (AI LegalTech Startup)

USA

EngineeringFull-timeHybrid

Created • May 12, 2025

Deadline • Jun 30, 2025

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Stealth AI LegalTech Startup (Backed by Neo)

Build AI systems lawyers will actually trust.


We’re in stealth, building AI-powered tools for litigation. We’ve secured initial funding and are part of the Neo 2025 cohort. Design partners are interested and onboarding. We’ve built a demo (i.e. the core AI features are ready)—now it’s time to turn it into something scalable, reliable, and fast.


We’re looking for a founding engineer who’s comfortable owning backend systems, AI integrations, and cloud infra. Someone who’s built production software, knows how to get things working without over-engineering, and can spot when duct tape needs replacing with real architecture. You’ll work directly with the cofounders and partners to ship product, shape our stack, and lay the groundwork for whatever comes next.


If you're the kind of engineer who prefers building useful things over chasing perfect abstractions—and you like working where decisions actually matter—this will be a good fit. If you’re the type of engineer who can manage and lead others, we’d love for you to grow into a leadership role as well.


What You’ll Do

  • Own core backend & AI development
  • Integrate LLMs into real-world workflows
  • Set up and manage 5-9 infra (ideally), but we would be happy with 4-9’s ;) You bring in good SRE practices, so our engineering efficiency & production stability are both maintained
  • Ship features end-to-end, from architecture to deployment.
  • Work through messy product problems with real users and figure out what’s actually worth building.
  • Make early technical decisions that won’t haunt us in 6 months and be open to adopting new technologies as needs change. We are hoping to find ways to keep the car running and changing the tires (while in motion).

What We’re Looking For

  • 3-7+ (ideally 5+) years shipping production software (we care more about what you’ve done than your title).
  • You bias toward action, own your mistakes, and care more about solving problems than being "right."
  • You’re collaborative, mission-oriented, open and honest, can manage your own time, and don’t need a PM to tell you what’s important.

Why This Is Worth Your Time

  • Real ownership—technical, product, and cultural.
  • Applied AI that goes beyond demos and prototypes.
  • Early-stage equity where your work directly drives company value.
  • No bureaucracy—just building useful software for users who care about outcomes.

Location: Remote (U.S. preferred) or hybrid near San Jose, CA or New York, NY.


Comp: $120,000-$200,000 + equity.


If you're interested, apply here with a resume and whatever you think best shows your work—GitHub, LinkedIn, or a note about what you’ve built. We’ll have a straightforward conversation about what we’re doing, what’s next, and whether it’s a fit.


Key Skills & Experience

Backend Engineering

  • Strong experience with Python (primary), plus working knowledge of JavaScript or Golang
  • Experience with modern web frameworks such as FastAPI or Flask
  • Comfortable designing and building scalable APIs and backend services
  • Familiarity with LangChain and integrating LLMs into production workflows
  • Experience designing and maintaining ETL pipelines
  • General comfortability with APIs, data handling, and designing systems that don’t fall over.

Databases & Data Handling

  • Solid experience with PostgreSQL and MongoDB
  • Familiarity with Redshift, Redis, or similar data stores is a plus

Infrastructure & DevOps

  • Hands-on experience with AWS (especially EC2, VPCs, Load Balancers, Security Groups)
  • Experience setting up CI/CD pipelines, managing environments, and handling production deployments
  • Understanding of cloud networking, security best practices, and infrastructure-as-code. You’ve set up environments, automated deployments, and kept services running.
  • Experience with Kubernetes (K8s) and AWS SageMaker is a bonus

AI/ML Engineering

  • Experience integrating LLMs into real-world workflows (e.g. prompt engineering, retrieval-augmented generation)
  • Experience building and deploying ML model envelopes
  • Familiarity with model rollout, versioning, and A/B testing infrastructure

Bonus Skills/Experience

  • Frontend proficiency with React and TypeScript for full-stack feature development
  • Experience working on AI SaaS products or legaltech
  • Security background (and/or working in a SOC II/ISO 27001-compliant environment)
  • Prior work in early-stage startups or small teams with ownership over multiple systems and environments where you’ve worn multiple hats

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