Senior Full Stack Python Engineer in a fast-growing AI startup, developing core real-time services for an AI-driven sales platform. Focused on architecture, development, and production-grade systems.
Responsibilities
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 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.
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.
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.
Participate in on-call rotations and lead incident response for platform services.
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