Staff Software Engineer, Backend – Agent Orchestration

🔥 1 hour ago

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Wand AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Wand AI is an enterprise software company (Wand Synthesis AI Inc. ) that builds the “Agentic Labor Infrastructure” to enable governments and large enterprises to create, manage, and scale hybrid workforces composed of humans and autonomous AI agents. Their platform (branded Wand OS / Agentic Workforce Technology) provides management, oversight, interoperability across systems, security options (SOC2-ready, on‑premise/private cloud/hosted), dashboards, decision tracking, and tools for deploying and governing agentic workflows at scale. Wand positions itself as a B2B/enterprise provider that turns AI into operational labor for regulated and large-scale organizations.

📋 Description

• Architect the agent orchestration and workflow execution system on Temporal, including the sandboxing that keeps agent code execution, web access, and file systems locked down and safe. • Build the task management, autonomous execution loops, and tool calling infrastructure that let agents run independently and act in the real world at scale. • Own the distributed data and event pipelines (Kafka, Kubernetes, Redis) that keep the platform observable and resilient. • Turn ambiguous, high stakes problems into concrete technical designs, ship them, and document the architecture so the next engineer doesn't have to guess. • Pair with the team's Tech Lead to raise the bar on architecture and code quality, reviewing designs across the team as it scales. • Work with the Workforce Management team so the execution layer supports what they're building on top, and pitch in on production support, including coverage that overlaps with US afternoons.

🎯 Requirements

• Real scalable distributed systems experience: production systems that run across many machines, not one box. • Hands on with Temporal or comparable workflow orchestration systems. • Strong with Kafka, and Kubernetes for container orchestration (especially for the sandboxing components). • Deep backend chops. There's no frontend here, so this needs to run deep. • Experience with distributed streaming and event driven systems (we use Kafka and Redis). What you built with these tools matters more than which specific ones you've used. • A track record of owning architecture end to end, not just contributing to someone else's plan. • Strong in Go and Python. • Clear communicator who can design independently and bring the team along. • Exposure to agentic or LLM based systems, especially tool calling.

🏖️ Benefits

• Health insurance • Retirement plans • Professional development opportunities • Flexible work arrangements