Senior Full Stack Python Engineer - United States - Raynmaker

    Raynmaker
    Raynmaker United States

    1 week ago

    Description
    About Raynmaker
    is the AI-native sales engine purpose-built for small and mid-sized businesses. We empower local and franchise businesses to compete with enterprise-level capabilities-through AI-driven lead targeting, next-best-action automation, and intuitive workflows that help them close more deals, faster. We're a venture-backed, fast-growing team committed to helping SMBs grow with confidence.
    Role Overview
    We're looking for a Senior Full Stack Python Engineer to lead the development and operation of the core real-time services behind our autonomous AI-driven sales platform. You will architect, build, and maintain production-grade systems that power voice, chat, scheduling, payments, and other mission-critical workflows used by real businesses every day.
    This is a hands-on, high-impact role where you will work directly with technology leadership, own major components of the platform, and help scale a modern cloud-native environment that integrates AI, real-time communication, and multi-tenant SaaS infrastructure.
    If you thrive in complex distributed systems, enjoy building high-performing services end-to-end, and want to help shape the backbone of an AI-first company, this role is for you.
    Key Responsibilities
    Platform & Backend Engineering
    • Architect, build, and operate Python/FastAPI microservices that power real-time customer interactions.
    • Develop scalable, event-driven systems for voice, chat, scheduling, payments, and other operational flows
    • Own end-to-end production services including availability, performance, reliability, and observability.
    • Build and maintain large-scale, multi-tenant data pipelines supporting both transactional and ML-driven use cases.
    Full Stack Development
    • Build high-quality front-end experiences using React and TypeScript.
    • Create internal dashboards, configuration tools, and admin consoles for platform operations.
    • Integrate real-time UI elements using WebSockets, streaming APIs, and live data updates.
    Real-Time, Distributed & Cloud Systems
    • Design and operate distributed systems with a focus on real-time performance (voice, streaming, WebSockets).
    • Implement event-driven workflows using Kafka, Kinesis, SQS, or similar technologies.
    • Deploy, scale, and monitor workloads on AWS (EKS, EC2, ALB, IAM, VPC, RDS, S3).
    • Use Kubernetes and Docker for container orchestration and service reliability.
    AI Platform Integration
    • Work alongside ML teams to expose LLM- and RAG-powered services into production systems.
    • Integrate with vector databases, agent frameworks, and LangChain/LangGraph pipelines.
    • Build API endpoints and backend flows that leverage AI capabilities safely and efficiently.
    Operational Excellence & DevOps Practices
    • Participate in on-call rotations and lead incident response for platform services.
    • Implement strong observability: logs, metrics, tracing, dashboards, alerts.
    • Own release management, versioning, CI/CD workflows, and deployment automation.
    • Continuously improve system reliability, performance, and scalability.
    Required Skills
    • 10+ years of professional software engineering experience.
    • Expert-level Python engineering skills.
    • Expert-level TypeScript and React full stack development experience.
    • Deep experience with FastAPI and microservices architecture.
    • Strong background in distributed systems and large-scale pipelines.
    • Real-time systems expertise: voice, streaming, WebSockets, live event flows.
    • Exposure to the modern AI stack (RAG, vector DBs, LLMs, LangChain/LangGraph).
    • Experience building multi-tenant SaaS platforms.
    • Strong understanding of event-driven systems (Kafka, Kinesis, SQS).
    • AWS cloud experience: EKS, EC2, ALB, IAM, RDS, S3, VPC.
    • Proficiency with Kubernetes & Docker.
    • Experience with observability tooling and incident response.
    • Strong SQL and NoSQL database fundamentals.
    Nice to Have
    • Experience with third-party integrations (Stripe, Calendars, Toast, POS/CRM systems).
    • Security foundations: OAuth, JWT, RBAC, secure API design.
    • Experience operationalizing AI systems in production.
    • Startup or rapid-growth company experience.
    • Infrastructure-as-Code (Terraform) experience.
    • Building/maintaining modern CI/CD pipelines.

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Senior full stack python engineer