Full-Stack Product Engineer (AI-Native)

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-endClarify the problem, ask the right questions, and define success metricsPropose solution options with tradeoffs (scope/speed/quality)Implement, ship, monitor, and iterate based on real usagePartner tightly with Design/ProductTurn designs into polished UI/UX; handle edge cases, loading/error states, and responsive behaviorTranslate ambiguous requirements into a clear plan and incremental milestonesFull-stack executionBuild and maintain frontend + backend components: UI, APIs, data models, workflows, integrationsDesign clean, versionable API contracts (pagination, errors, auth, backwards compatibility)Work effectively in an event-driven/CQRS architectureRespect boundaries, choose appropriate patterns, and keep systems evolvableHandle idempotency, retries, and failure modes cleanlyAI-assisted engineering (must be real, not buzzwords)Use Claude Code / Copilot CLI / similar tools to speed up implementation, debugging, and codebase navigationStay in control: plan first, review diffs carefully, write tests, and verify behavior locallyLocal-first engineeringRun the stack locally end-to-endSeed data, reproduce issues deterministically, and debug effectivelyImprove developer experience (scripts, docs, environment reliability)Quality bar ownershipWrite the right tests (unit/integration/e2e as appropriate)Add logging/telemetry that makes production understandablePrevent regressions and keep performance/reliability strongCode review excellenceReview PRs for correctness, security, performance, readability, and long-term maintainabilityGive clear feedback and raise the bar without slowing the team downPragmatic security mindsetApply best practices for secrets handling, authn/authz, input validation, dependency hygiene, rate limiting, and secure defaultsWhat 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 ambiguousFull-stack capability: comfortable building both UI and backend services; experience designing APIs and evolving data models safelySolid system design fundamentals: can reason about boundaries, modularity, maintainability, and operational impactReal 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 updatedMust be available to come into headquarters (Encino, CA) at least once per month! 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 patternsExperience working closely with QA in a structured handoff and feedback loopFamiliarity 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 salaryBonus: Up to 10% of base (determined annually in December)Healthcare: Medical, Dental, and Vision plan optionsRetirement: 401(k) with up to 4% company matchPerks:High-impact role in a rapidly scaling AI companyCollaborative, product-focused team environmentUnlimited 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 eventsReady to shape the future of AI-powered legaltech?APPLY NOW!