Job Title: Full-Stack Product Engineer (AI-Native)

Location: Hybrid (must be able to come to office in Encino, CA 2-3 days per week)

Type: Full-time (40-hour workweek)

We’re hiring a product-minded full-stack engineer who can take a feature from a design/idea all the way to a shipped, monitored, iterated product. You’ll work across frontend + backend, make pragmatic product and technical tradeoffs, and use modern AI coding assistants (Claude Code/GitHub Copilot CLI/similar) to move faster — while staying fully accountable for correctness, security, and maintainability.

This is not a “just implement tickets” role. You’ll own outcomes.

What you’ll do:

Own features end-to-end

Clarify the problem, ask the right questions, and define success metrics
Propose solution options with tradeoffs (scope/speed/quality)
Implement, ship, monitor, and iterate based on real usage

Partner tightly with Design/Product

Turn designs into polished UI/UX; handle edge cases, loading/error states, and responsive behavior
Translate ambiguous requirements into a clear plan and incremental milestones

Full-stack execution

Build and maintain frontend + backend components: UI, APIs, data models, workflows, integrations
Design clean, versionable API contracts (pagination, errors, auth, backwards compatibility)

Work effectively in an event-driven/CQRS architecture

Respect boundaries, choose appropriate patterns, and keep systems evolvable
Handle idempotency, retries, and failure modes cleanly

AI-assisted engineering (must be real, not buzzwords)

Use Claude Code / Copilot CLI / similar tools to speed up implementation, debugging, and codebase navigation
Stay in control: plan first, review diffs carefully, write tests, and verify behavior locally

Local-first engineering

Run the stack locally end-to-end
Seed data, reproduce issues deterministically, and debug effectively
Improve developer experience (scripts, docs, environment reliability)

Quality bar ownership

Write the right tests (unit/integration/e2e as appropriate)
Add logging/telemetry that makes production understandable
Prevent regressions and keep performance/reliability strong

Code review excellence

Review PRs for correctness, security, performance, readability, and long-term maintainability
Give clear feedback and raise the bar without slowing the team down

Pragmatic security mindset

Apply best practices for secrets handling, authn/authz, input validation, dependency hygiene, rate limiting, and secure defaults

What we’re looking for (must-haves):

Proven end-to-end feature ownership in a real product (ship → monitor → iterate)
Strong product intuition: understands workflows, edge cases, success metrics, and tradeoffs; can make sensible product decisions when requirements are ambiguous
Full-stack capability: comfortable building both UI and backend services; experience designing APIs and evolving data models safely
Solid system design fundamentals: can reason about boundaries, modularity, maintainability, and operational impact
Real experience with AI coding assistants in daily development: hands-on with Claude Code or GitHub Copilot CLI or equivalent (Cursor, Codex, etc.); can explain your workflow (when you trust AI output, how you verify, and how you avoid regressions/security issues)
Ability to run and debug complex systems locally (not “works on my machine”)
Strong communication: breaks work into slices, documents decisions briefly, surfaces risk early, and keeps stakeholders updated

Nice-to-haves:

Angular experience (or deep experience in another modern frontend framework + willingness to ramp fast)
.NET / C# experience (or strong backend experience + willingness to ramp fast)
Hands-on experience with event-driven systems / CQRS patterns
Experience working closely with QA in a structured handoff and feedback loop
Familiarity with observability tooling (structured logs, metrics, tracing)
Comfort experimenting quickly (“vibe coding”) paired with discipline (tests, reviews, safe rollouts)

Compensation and Benefits:

$160K - $220K base salary
Bonus: Up to 10% of base (determined annually in December)
Healthcare: Medical, Dental, and Vision plan options
Retirement: 401(k) with up to 4% company match

Perks:

High-impact role in a rapidly scaling AI company
Collaborative, product-focused team environment
Unlimited snacks, coffee, and more (if based in Los Angeles, CA)
Weekly team happy hours (if based in Los Angeles, CA)
Business trips and team-building events

Ready to shape the future of AI-powered legaltech?

APPLY NOW!