Fullstack Engineer – Platform & APIs (AI-First Development)

About Autolane & OpenCurb OSAutolane is on a mission to revolutionize last‑mile logistics by empowering autonomous vehicle owners to unlock the value of their vehicle. Our flagship product, OpenCurb OS, is the industry’s first orchestration layer for autonomous deliveries—mapping parking lots, designating pickup zones, and coordinating vehicle arrivals in real time. We integrate directly with retailers, commercial real‑estate operators, and AV fleets, building the infrastructure that enables autonomy at scale.The RoleAs an AI-First Fullstack Engineer at Autolane, you’ll leverage cutting-edge AI tools to design, build, and own end‑to‑end features across the OpenCurb OS platform at unprecedented velocity. You’ll combine LLM-powered development with traditional engineering excellence to ship features from Next.js 15.3 front‑end experiences to FastAPI and Go micro‑services running on GKE. This role is perfect for engineers who view AI as a force multiplier—enabling you to tackle more complex problems, ship faster, and maintain higher quality standards than ever before.Core ResponsibilitiesAI-Accelerated DevelopmentLLM-Powered Feature Development: Ship complete features using AI coding assistants (Claude Code, Cursor, Windsurf) to generate guardrails, RAG docs, and production-ready code that cuts PR cycle time by 50%+Intelligent Testing & Monitoring: Build AI-first development pipelines with LLM-powered test generation, live metrics monitoring, and automated refinement based on user feedbackRapid Prototyping: Use AI tools to move from concept to working prototype in hours, not days—validating ideas with stakeholders before full implementationPlatform Engineering ExcellenceEnd‑to‑End Feature Ownership: Architect and ship customer‑facing features across React/Next.js 15.3, FastAPI, and Go services—using AI to handle boilerplate while you focus on business logicCross‑Stack Architecture: Design clean REST/GraphQL APIs and gRPC services with AI-assisted documentation, contract testing, and SDK generationInfrastructure as Code: Leverage AI to write and maintain Terraform modules for GKE, Cloud SQL, Pub/Sub—with automated security scanning and compliance checksObservability & Reliability: Implement AI-enhanced monitoring with predictive alerting, anomaly detection, and automated incident response playbooksAI-Native WorkflowsPrompt Engineering Excellence: Craft precise prompts for complex technical tasks, chaining LLM calls with retry logic and hallucination detectionCode Review Augmentation: Conduct AI-assisted code reviews that catch subtle bugs, suggest optimizations, and ensure consistent patterns across the codebaseDocumentation Automation: Generate and maintain comprehensive technical docs, API references, and runbooks using AI—keeping them in sync with code changesRequired QualificationsTechnical Foundation5+ years professional experience building production web applications and distributed servicesDeep proficiency in React and Next.js (v15.x preferred) with SSR, RSC, and edge runtimesSenior‑level experience with FastAPI, Python 3.12, and Go for high‑performance micro‑servicesHands‑on expertise with Terraform, Kubernetes (GKE), Google Cloud Pub/Sub, and Cloud SQLStrong foundation in CI/CD, containerization, and modern DevOps practicesAI Fluency Requirements (Adoptive Level Minimum)Active daily use of LLM-powered development tools (Claude Code, Cursor, Windsurf, or similar)Demonstrated ability to chain LLM calls with fallback mechanisms and retry logicExperience adding evaluation tests to flag hallucinations and validate AI outputProficiency in prompt engineering—knowing how to extract maximum value from AI assistantsTrack record of walking interviewers through prompt tweaks, token limits, and code review strategiesTransformative AI Skills (Preferred)Experience shipping LLM-powered features that monitor live metrics and refine based on user feedbackHistory of building AI-first development pipelines that dramatically reduce time-to-marketProven ability to architect AI-augmented systems that maintain high quality while accelerating deliveryLeadership in establishing AI development best practices and training teams on effective AI collaborationProblem‑Solving & CommunicationAnalytical mindset that combines AI assistance with deep technical judgmentAbility to decompose ambiguous requirements into AI-friendly subtasks while maintaining architectural coherenceExcellence in articulating when and how to leverage AI vs. traditional approachesSuccess in remote, agile environments with AI-augmented workflowsOur AI-First Engineering CultureAt Autolane, we believe AI isn’t replacing engineers—it’s amplifying them. Our engineering team operates at the intersection of human creativity and machine intelligence:AI as Force Multiplier: We use AI to eliminate toil, not to replace thinkingRapid Experimentation: Ship prototypes in hours, production features in daysQuality Through Velocity: Move fast without breaking things by leveraging AI for comprehensive testingContinuous Learning: Stay ahead of AI tooling curves—what works today might be obsolete tomorrowPragmatic Innovation: Choose the right tool for the job, whether that’s an LLM, traditional code, or hybrid approachWe conduct collaborative AI pair-programming sessions, share prompt libraries and patterns, and maintain a culture of experimentation where trying new AI workflows is encouraged and celebrated.Why Join Our AI-First Team?Cutting-Edge Stack: Work with the latest AI development tools and shape how we integrate emerging capabilitiesMultiplied Impact: Your contributions will be amplified by AI, allowing you to tackle problems previously requiring entire teamsLearning Environment: Access to top-tier AI tools, regular AI workshops, and freedom to experiment with new approachesFuture-Forward Career: Position yourself at the forefront of how software engineering is evolvingMission-Driven Work: Apply AI to solve real-world logistics problems that impact millions of deliveriesIf you’re excited about leveraging AI to build the future of autonomous logistics—and you have the technical chops to ensure AI-generated code meets production standards—we want to hear from you. This role is perfect for engineers who see AI as a superpower that lets them ship better software, faster.Interview Process Note: Be prepared to demonstrate your AI-augmented development workflow. We’ll ask you to walk us through real examples of using LLMs for coding, show how you validate AI output, and discuss strategies for maintaining code quality in an AI-first environment. Bonus points if you can show us ROI metrics from your AI-powered development approach.