Staff Engineer - Machine Learning

We are seeking a Machine Learning Staff 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.

Key Responsibilities

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