Role OverviewWe are looking for a Senior Software Engineer to drive the technical direction of Yolando, our flagship AI Search Optimization platform. You will own AI/LLM systems end-to-end, designing production agents using Pydantic AI for content generation and competitive intelligence. As a technical leader, you will architect scalable backend services using FastAPI and PostgreSQL, build real-time collaborative systems with WebSockets, and mentor engineers to establish patterns that scale.Key ResponsibilitiesOwn AI/LLM Systems End-to-End:Design and build production AI agents using Pydantic AI for content generation, brand analysis, and competitive intelligence. Implement tool-based architectures that enable agents to explore signals and generate recommendations at scale.Architect Scalable Backend Services:Build and evolve FastAPI microservices that power real-time content workflows, handling complex state machines for onboarding, content generation, and recommendation pipelines. Optimize PostgreSQL with pgvector for embedding-based semantic search and deduplication.Build Real-Time Collaborative Systems:Implement WebSocket-based real-time collaboration features, including document synchronization, streaming AI responses, and live status updates using technologies like Yjs CRDTs.Drive Infrastructure Excellence:Own service deployment on GCP/Kubernetes with KEDA event-driven autoscaling. Design ScaledJobs for background processing, implement zero-downtime migrations, and establish observability patterns with Logfire.Lead Technical Direction:Mentor engineers, drive architectural decisions, and establish patterns that scale. Own complex features from design through production rollout, coordinating across frontend and data engineering teams.What We're Looking For5+ yearsbackend engineering withPythonand production experience withFastAPIor similar async frameworks.Proven track record buildingAI/LLM-powered applicationsin production (prompt engineering, agent architectures, tool use patterns).Deep experience withPostgreSQL , including query optimization, indexing strategies, and migrations at scale.Strong understanding ofdistributed systems : event-driven architectures, background job processing, caching patterns.Experience withGCP, Kubernetes, and Terraformfor production infrastructure.Track record oftechnical leadership : mentoring, architectural decision-making, cross-team coordination.Ownership mindset: you drive features end-to-end, from design through production support.Bonus if you haveExperience withvector databases(pgvector, Pinecone) and embedding-based search/RAG systems.Background inreal-time systems : WebSockets, CRDTs, collaborative editing.Familiarity withPydantic AIor similar structured LLM frameworks.Experience withKEDAor other event-driven autoscaling patterns.Background in SEO, content marketing, or marketing technology.Our StackBackend:Python 3.11, FastAPI, SQLModel, PostgreSQL/pgvector, Pydantic AI, RedisFrontend:Next.js 14+ (App Router), React 19, TypeScript, Plate.js, Radix UIInfrastructure:GCP (Cloud Run, Pub/Sub, AlloyDB), Kubernetes, KEDA, Terraform, GitHub ActionsObservability:Logfire, PostHogData:Databricks, Protocol Buffers, Alembic migrationsWhy Join Us?Join an innovative, fast-growing startup building cutting-edge AI marketing solutions.Make a meaningful impact by shaping the platform's user experience, design identity, and overall success.Dynamic environment with opportunities for real ownership, learning, and growth.Competitive salary and support for professional development.#J-18808-Ljbffr