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Strong employer brand, remote role, generalist backend title, and mid-level experience increase applicant density.
Technical backend skills are transferable, but agentic AI and AuthN/AuthZ experience raises domain specificity.
Explicit 3–5 year requirement plus mandatory Python, AuthN/AuthZ, API gateway, and cloud/Kubernetes skills.
Design, build, and maintain backend services and APIs to support enterprise agentic AI initiatives, including Model Context Protocol (MCP) server development.
Implement and manage authentication and authorization frameworks (OAuth2, OIDC, token exchange, mTLS) to secure AI agents, MCP servers, and large language model (LLM) traffic.
Govern enterprise API gateway platforms and develop orchestration workflows while collaborating with architects, security, and platform teams to deliver AI governance infrastructure.
3 to 5 years of backend software engineering experience.
Bachelor's degree in Computer Science or related field.
Hands-on experience in Python and backend service development including AI/agent frameworks.
Expertise in AuthN/AuthZ protocols (OAuth2, OIDC, JWT, token exchange, mTLS) and API design (REST, GraphQL).
Experienced in microservices architecture and distributed systems with skills in API gateway or integration platforms.
Familiar with MCP, event streaming platforms (Kafka, Spark, Flink, Redis), identity management, and cloud deployments using Docker/Kubernetes.
Able to take full ownership of production backend systems in AI platform environments and collaborate cross-functionally on security and governance infrastructure.