Senior Staff Engineer – Platform (Agentic AI)

CriticalRiver Inc.
Pleasanton, CA

Job title: Staff / Senior Staff Engineer – Platform (Agentic AI)

Location: Pleasanton, CA (Onsite)

Duration: Full-time


About Meeru AI

Meeru AI is building an enterprise Agentic AI platform deployed into customer-owned AWS, Azure, or GCP environments. We're seeking a Staff/Senior Staff Engineer to own platform architecture, drive technical decisions, and lead hands-on development of scalable, secure AI systems.


What You'll Do

  • Define and own platform architecture across agent orchestration, RAG, memory, tool execution, observability, identity, and authorization.
  • Design customer-cloud and multi-tenant platform foundations, including data isolation, SSO, and policy enforcement.
  • Lead architecture for LangGraph-based agent frameworks, evaluation pipelines, and AI safety guardrails.
  • Drive performance, reliability, security, scalability, and cloud deployment strategy.
  • Partner with deployment, product, and engineering teams on customer-facing architecture decisions.
  • Write production code, conduct design reviews, mentor engineers, and lead incident/postmortem efforts.


Must-Have Skills & Experience

  • 10+ years of software engineering experience, including Staff/Principal-level technical ownership.
  • Proven experience building and operating production LLM applications at scale.
  • Strong expertise in:
  • Agentic AI, RAG, tool-using agents, prompt engineering
  • LLM evaluation pipelines, prompt-injection defense, AI safety/guardrails
  • Multi-tenant SaaS architecture and customer-cloud/BYOC deployment models
  • Distributed systems (idempotency, eventual consistency, queues, distributed locking)
  • Authentication & authorization architecture, OWASP security best practices
  • Deep proficiency in Python; working knowledge of TypeScript/Node.js.
  • Strong PostgreSQL experience (performance tuning, indexing, replication, migrations, pgvector/vector databases).
  • Cloud-native architecture expertise in AWS and familiarity with Azure or GCP.
  • Experience making and driving complex architecture decisions across teams.


Nice to Have

  • Customer-cloud / single-tenant product experience.
  • Cerbos, OPA, Cedar, WorkOS, Auth0, or Okta.
  • LangSmith, Langfuse, OpenTelemetry, Arize, or similar observability tools.
  • SOC2, HIPAA, FedRAMP, or similar compliance experience.
  • Open-source contributions, technical speaking/writing, or startup/founding engineer background.


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