Staff Backend AI Platform Engineer

We are seeking a Backend AI Platform Engineer to lead the development of core backend services powering our Agentic AI Platform. In this role, you will be the primary technical driver for building reasoning-driven agents, multi-agent orchestration, and outcome-based workflows.

You will collaborate with the Principal AI Architect to bridge the gap between high-level design and scalable implementation. You will own the development of high-performance APIs and orchestration runtimes, integrating frameworks like LangChain, LangGraph, and LangSmith. This role is highly hands-on and requires a technical leader who can navigate a fast-paced environment while maintaining high engineering standards.

Platform Backend Development

* Lead Implementation: Act as the lead engineer for agent runtime orchestration services, focusing on reasoning, planning, and tool invocation. * API & SDK Design: Own the development of robust APIs and SDKs that enable internal and external teams to build and deploy agent workflows. * State & Memory Management: Build and optimize stateful dialog management and memory services for multi-turn, context-aware agents. * Agent Communication: Implement multi-agent communication (A2A) protocols and shared context systems.

System Architecture & Execution

* Microservices Leadership: Execute the transition to cloud-native, event-driven backend services using microservices or service mesh architectures. * Workflow Design: Build and manage task scheduling and long-running operations using tools like Temporal or Airflow. * Performance Optimization: Optimize LLM orchestration for performance and cost through caching, batching, and token monitoring.

Integrations & Data Services

* Data Pipeline Ownership: Implement and maintain RAG pipelines and integrations with vector databases (e.g., Pinecone, Weaviate, FAISS). * Telemetry Integration: Ensure all backend services support LangSmith-based evaluation and comprehensive observability.

Security & Reliability

* Tenant Isolation: Implement RBAC, API authentication, and multi-tenant isolation logic. * Engineering Excellence: Set the standard for automated testing (unit, integration, load) and implement OpenTelemetry for full system visibility. * Mentorship: Provide technical guidance and code reviews for more junior backend engineers on the team.