Senior Full Stack Python Engineer

Senior Full Stack Python Engineer at 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.

• 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.

• Build high-quality front-end experiences using React and Type Script.
• Create internal dashboards, configuration tools, and admin consoles for platform operations.
• Integrate real-time UI elements using Web Sockets, streaming APIs, and live data updates.

• Design and operate distributed systems with a focus on real-time performance (voice, streaming, Web Sockets).
• 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.

• Work alongside ML teams to expose LLM- and RAG-powered services into production systems.
• Integrate with vector databases, agent frameworks, and Lang Chain/Lang Graph pipelines.
• Build API endpoints and backend flows that leverage AI capabilities safely and efficiently.

• 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.

• 10+ years of professional software engineering experience.
• Expert-level Python engineering skills.
• Expert-level Type Script 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, Web Sockets, live event flows.
• Exposure to the modern AI stack (RAG, vector DBs, LLMs, Lang Chain/Lang Graph).
• 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 No
  
  SQL database fundamentals.

• 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.