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Staff Engineer, Agentic Backend

sema4.ai · Atlanta

New
Senior 🇬🇧 English
Python LLM

Job description

About the role

At Sema4.ai we are building an Enterprise AI Agent platform that enables people and AI agents to collaborate in trustworthy ways. As a Staff Backend Engineer on the Agent Platform you will partner with the AI team to turn cognitive architectures into production‑ready, customer‑facing features. This high‑impact role sits at the platform/product boundary, shaping how agents are configured, executed, observed, and scaled in real enterprise environments.

Key responsibilities

  • Design and implement backend systems that make agents usable in production, including execution engines, workflow orchestration, tool invocation frameworks, document processing, database interfaces, authentication/authorization, and lifecycle management.
  • Collaborate with the AI team to consume new cognitive primitives and turn them into shippable functionality such as agent behaviors, configuration models, execution semantics, and observability surfaces.
  • Ensure reliability, scale, and operability of agent‑powered systems by handling retries, partial failures, long‑running workflows, cost controls, and performance trade‑offs.
  • Influence API design, data models, and internal contracts to keep the platform cohesive, prevent accidental complexity, and maintain evolvability.
  • Participate in design and code reviews, set engineering standards, and mentor other engineers across the organization.

Required profile

  • 7+ years of backend software engineering experience in production systems.
  • Deep experience building backend services in Python with a focus on performance, reliability, and observability.
  • Hands‑on experience with LLM‑ or agent‑based systems, especially orchestration, tools, or workflow execution.
  • Strong product and systems thinking, understanding how technical decisions affect user experience.
  • Excellent communication skills for collaborating with colleagues, customers, and cross‑functional teams.
  • High‑ownership mindset, taking responsibility for the long‑term health of the systems you build.

Required skills

  • Python
  • LLM (large language model) technologies

Questions fréquentes

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Source : ats:ashby

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Published 12 hours ago

Expires 1 month from now

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sema4.ai

Atlanta