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Senior AI-backend staff role in metro with niche agentic requirements and lesser-known startup limits but still competitive.
Skills in backend, cloud, and data are transferable, but agentic AI specialization increases domain specificity.
Explicit 8-10 years plus mandatory backend, cloud, and AI-agent experience enforces strict technical filters.
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Design and build scalable backend services, microservices, data pipelines, and distributed systems with Python focusing on AI-native agentic architectures integrating LLMs and deterministic workflows.
Own technical leadership including architecture design, code quality, CI/CD pipelines, production reliability, monitoring, and cross-team collaboration with product, ML, and platform teams.
Develop cloud-native solutions on AWS and other cloud platforms, implement real-time and batch data processing systems, and deliver enterprise-grade AI-driven platforms that solve customer problems.
8-10 years of backend and data engineering experience with microservices and distributed systems.
Strong hands-on Python experience with frameworks like Flask, FastAPI, or Django and related libraries.
Proven experience with cloud platforms (AWS, Azure, or GCP) including services like Lambda, EC2, S3, RDS, and container orchestration using Docker/Kubernetes.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experienced in designing AI-native, agent-first systems integrating LLMs with deterministic workflows for reliable production environments.
Strong background in building and scaling cloud-native, microservices-driven platforms with deep knowledge of data engineering tools and distributed system patterns.
Technical leader comfortable with hands-on coding, cross-functional collaboration, architectural documentation, and mentoring engineers in fast-paced, innovation-driven environments.