Senior Software Engineer

Lead Software Engineer - AI Application PlatformThe Opportunity We are seeking a Lead Software Engineer to guide the architectural development and execution of AppGen, a sophisticated AI-powered application generation platform. This role suits a proven technical leader with deep, hands-on expertise across the full software stack who finds enabling a team to build better software deeply satisfying. You will shape critical systems, mentor senior and junior developers through complex technical decisions, conduct rigorous code reviews across multiple technology domains, and directly influence the platform's trajectory through strategic engineering leadership.About AppGen: Platform Complexity You'll Lead AppGen is an enterprise-grade, multi-tenant LLM-driven application generator deployed across:Frontend Layer: Angular 19 SPA with NgRx state management, Material Design, and real-time WebSocket communicationBackend Services: Python/FastAPI microservices handling form generation, data persistence, and orchestrationAI Integration: AWS Bedrock (Claude 3.5) token-optimized prompt chains generating production-grade form schemas and auxiliary codeInfrastructure: Terraform-managed AWS environments (VPC, Lambda, RDS PostgreSQL, DynamoDB, API Gateway, ALB, AppSync)Deployment Automation: NestJS Lambda orchestrating GitHub repo creation, CI/CD pipeline automation, and infrastructure provisioningThis is not a single-language codebase. The role requires the ability to make informed decisions on TypeScript design patterns, Python FastAPI architecture, AWS security posture, and Terraform state management in context with one another.The Platform Challenge AppGen is fundamentally a Platform-as-a-Service (PaaS) for dynamic application generation. This differs from building a traditional SaaS product. Rather than building one application, you're building infrastructure that enables users to build their own applications.What this means architecturally:Dynamic Content Generation at Scale: Unlike traditional development where code is fixed, AppGen generates JSON form schemas, validation rules, and UI layouts on demand. The FormBuilder component doesn't know what fields will exist until runtime. The layout engine renders user-designed screens from configuration, not hardcoded templates.Multi-Tenant Isolation & Data Segregation: Each user gets their own generated app, potentially deployed to their own AWS environment. The architecture must account for data isolation, namespace management, and cross-tenant security considerations.User-Defined Data Structures: Traditional applications are built with predetermined database schemas. AppGen works differently—form structures, field types, and validation rules emerge from user conversations with Claude. This brings engineering challenges: How do you safely execute validation logic that users define? When users modify existing forms that have thousands of submissions, how do you maintain backward compatibility? How do you version schemas?Content Rendering, Not Code Generation: Unlike traditional no-code platforms where users drag-and-drop to build, AppGen uses AI instead. Users chat with Claude, Claude generates a form schema, and your platform renders that schema reliably across diverse field types, validation patterns, and workflows. The system renders configurations for immediate use, rather than generating code for later deployment.Experience that directly transfers:You've contributed to or led development of low-code/no-code platforms (visual builders, workflow engines, configuration-driven systems)You've worked on SaaS platforms with multi-tenant architecture and understand isolation strategies, rate limiting, and per-customer customizationYou've built dynamic rendering systems that handle unknown/arbitrary schemas at runtimeYou've addressed the unique challenges of treating data configurations as user-created content (form builders, report designers, automation workflows)You understand the difference between platform infrastructure and applications built on that infrastructure—and the architectural implications of eachCore ResponsibilitiesTechnical Architecture & Systems Thinking (40%)Code Review & Technical Guidance (30%)Mentorship & Team Development (20%)Stakeholder Communication & Technical Leadership (10%)Required Qualifications Technical Skills Frontend (Production Experience)5+ years of Angular (including handling version migrations, optimizing change detection, and guiding teams through reactive patterns)Strong TypeScript skills with generics, discriminated unions, and strict modeRxJS depth: You understand hot vs. cold observables, unsubscription patterns, and can identify potential memory issues in reviewsNgRx state management: You've designed stores at scale, optimized selectors, and evaluated architectural implicationsCSS Grid & Responsive Design: You can assess component hierarchy and layout decisionsMaterial Design: You've worked within it and know when and how to extend itBackend (Production Experience)5+ years of Python (async/await, type hints, data modeling)FastAPI production experience: session management, dependency injection, middlewareSQL and ORMs (SQLAlchemy): You write efficient queries and review them criticallyAWS services: Understanding of Lambda behavior, IAM least-privilege patterns, VPC networkingREST API design: Versioning, error handling, idempotencyTesting frameworks: pytest, testing st