Raynmaker Inc

Compensation

Full Description

About Raynmaker Raynmaker.ai 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. We are committed to fostering a diverse, inclusive, and equitable workplace where all individuals are valued, respected, and empowered, regardless of their background, identity, or beliefs. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.