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Mid-level, popular backend/AI role in a metro with broad skill requirements increases competition.
Backend AI engineering skills are transferable but benefit from AI/agent and gaming/customer-support experience.
Explicit 3–5 years plus required Python, FastAPI, Kubernetes, and cloud skills increases screening strictness.
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Design, develop, and maintain scalable backend services and APIs using Python and FastAPI supporting AI Agents and customer support automation.
Integrate AI components such as Retrieval-Augmented Generation (RAG) pipelines and AI Agent orchestration into high-throughput backend systems operating at massive scale.
Deploy, operate, and monitor backend services on AWS and GCP, ensuring performance, reliability, and observability using tools like Grafana, Elasticsearch, and Kibana.
3–5 years of experience in backend software development.
Strong hands-on experience with Python and backend frameworks, especially FastAPI.
Experience with databases including MongoDB, PostgreSQL, and YugabyteDB.
Hands-on experience with Docker, working knowledge of Kubernetes, and familiarity with AWS and GCP cloud services.
Experienced in building production-grade backend systems integrating AI components for large-scale, high-traffic environments.
Familiar with CI/CD pipelines, containerization, cloud deployment, and observability tools to ensure reliable system operation.
Domain familiarity with AI systems (especially RAG), customer support automation, and gaming industry backend challenges is a plus.