---
title: 'Staff Software Engineer, Backend / Agent Orchestration at Wand Synthesis AI Inc'
canonical: 'https://feeny.ai/job/staff-software-engineer-backend-agent-orchestration-wand-synthesis-ai-inc-india-hnbed7vje0xc'
type: 'job'
last_seen: '2026-09-14'
---

# Staff Software Engineer, Backend / Agent Orchestration at Wand Synthesis AI Inc

- **Company:** Wand Synthesis AI Inc
- **Location:** India
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-14
- **Last confirmed live:** 2026-09-14
- **Apply:** https://jobs.ashbyhq.com/wand-ai/e7c0c6e1-d32c-466a-9468-5a26dd6bc982

## Job description

Build the Future Workforce Wand turns AI into labor. It enables humans and AI agents to operate together as a unified, hybrid workforce, with comprehensive management and oversight. And it’s already operating at scale inside some of the world’s largest organizations. Wand built the world’s first Agentic Labor Infrastructure enabling governments and global enterprises to create, manage, and scale digital workforces. Our mission is to integrate agent ecosystems into the core of work and business, unlocking a generational leap in the global economy. We’re building the infrastructure that lets humans and AI agents operate together safely, transparently, and at scale.

Join Wand in leading the Agentic Shift Wand is building a high-performing global team who take full ownership of what they build. We lead by example, move fast, make data-aware decisions, and continuously push for more- always with a focus on delivering real value to customers. You would be joining a world-class team that combines deep research expertise and real-world product execution, with experience spanning Deepmind, Google, Amazon, Miro, Elise AI, IBM and Accern.

Position Summary Every agent on our platform runs because of what this team builds. We're hiring a Staff Software Engineer to help architect the distributed backend that powers agent orchestration at Wand: workflow execution on Temporal, sandboxed agent code, and the pipelines that keep thousands of agents running without falling over. Zero UI, zero fluff. Just hard distributed systems problems at real scale. You'll pair directly with our Tech Lead on the India based team and take the architecture to the next level. We need someone who can turn "design v3 of this system" into a real, working plan, then help the team build it. This isn't just about orchestrating a single agent. It's about orchestrating a workforce of agents working together through processes, and building the layer that makes that possible. Orchestration, task execution and tool calling, and sandboxing are largely independent pieces, so depth in any one of them matters more than breadth across all of them.

## Role Responsibilities

- 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.

## Key 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.

## Preferred Experience

- Experience building safe, isolated execution environments (sandboxing).
- Background in process automation or RPA (e.g. BPMN, Camunda, UiPath, or similar), even without direct agent experience. We're building orchestration for a workforce of agents, and process automation experience transfers well.
- Exposure to distributed data stores such as Cassandra or ClickHouse. Helpful, not required.
- Experience building infrastructure other teams can't live without.
- On call experience for distributed systems.
- Time spent scaling infrastructure inside a fast growing engineering org.

## About Wand Synthesis AI Inc

## Company Overview
- **One-liner**: Wand AI builds the world’s first Agentic Labor Infrastructure, an operating system that enables governments and global enterprises to create, manage, and scale hybrid workforces where humans and AI agents collaborate seamlessly.
- **Entity Type**: Private (Seed stage; $15M total funding)
- **Headquarters**: Palo Alto, California, United States (also operates from Tel Aviv, Israel)
- **Founded**: 2022
- **Founders**: Rotem Alaluf (CEO), Eli Osherovich (Co-Founder)

## Core Business
- **Primary industry/industries**: Enterprise AI Infrastructure, Agentic Automation, Workforce Management
- **Target customers**: Governments and global enterprises (B2B, Enterprise)
- **Mission or purpose statement**: “To drive a generational leap for the global economy by integrating agent ecosystems into the core of work, business, and society — making this shift safe, transparent, and radically efficient.”

## Products & Services
- **Agent Control Panel**: Configure, monitor, and govern every AI agent with live performance data, budget restrictions, and compliance controls.
- **Collaboration Platform**: A shared chat workspace where humans prompt, collaborate with, and coach AI agents in real-time.
- **Process Automation**: Agents run complex workflows end-to-end, triggering tasks and escalating edge cases to humans.
- **Division Automation**: Hand an entire function (e.g., customer support, data operations) to AI when the business is ready, scaling from single processes to fully autonomous divisions.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: $15.0M in total funding across 2 rounds
- **Notable Investors/Partners**: InnoRevo Ventures (lead investor in seed round); backed by world-renowned entrepreneurs and leading U.S.-based venture capital firms. Acquired Accern (2025-02-07).
- **Growth Signals**: 
  - Headcount of 48 employees (+5.8% YoY), operating in 13 countries
  - 21 active job postings (monthly job postings up +200%)
  - LinkedIn followers: 113,174 (monthly +0.1%, yearly +1.6%)
  - Talent sourced from Amazon Web Services, Microsoft, IBM, Jasper, and others
  - SOC2-ready with flexible deployment (on-premise, private cloud, hosted)

## Competitive Advantages
- **Full-Stack Workforce OS**: One platform for creation, execution, collaboration, and governance — unlike point solutions that only automate tasks.
- **Governed Autonomy**: Agents stay budget-positive and compliant under built-in rules and guardrails, with decision tracking and accountability dashboards.
- **Human-First Adoption**: Real-time chat, clear escalation paths, and role-based controls keep people in command.
- **Self-Evolving Intelligence**: Agents retrain, build new agents, and refine workflows automatically, compounding ROI over time.
- **Interoperability**: Agents work across systems, tools, and departments, eliminating silos and enabling unified operations.

## Strategic Focus
- **Category creation**: Defining the “Agentic Labor Infrastructure” category and becoming the company the world thinks of first for using AI to create real business value.
- **Scaling the hybrid workforce**: Enabling enterprises to move from single-process automation to full-division autonomy.
- **Global expansion**: Operating in 13 countries with a growing presence in Middle East, Europe, and Asia.
- **Talent acquisition**: Aggressively hiring across engineering, product, go-to-market, and marketing to build foundational infrastructure at the frontier of AI.

## Why Work Here
- **Culture highlights**: “Real ownership from day one” and “the chance to help define a category, not iterate inside one.” The team includes talent from DeepMind, Google Brain, Microsoft Research, and other industry leaders.
- **Remote/hybrid/office policy**: Not explicitly stated, but the company operates across 13 countries with employees in the US, India, UAE, Israel, Ukraine, Poland, Netherlands, Denmark, Switzerland, Germany, and more — suggesting a distributed/remote-friendly model.
- **Notable perks or engineering culture**: 
  - Employer rating: 3.7/5.0 (13 reviews) — Compensation rated 3.9, Career growth rated 3.9
  - Work on foundational infrastructure at the frontier of AI (agent runtime, orchestration layer, customer-facing products)
  - SOC2-ready security posture and enterprise-grade deployment options
  - Opportunity to work on a product that “will change how organizations everywhere operate”
- **Open roles include**: Head of Product Security & Compliance, Head of Engineering (Organization & Governance), Senior Backend Engineer, Senior ML Engineer, Senior Site Reliability Engineer, Customer Solutions Engineer, Engineering Manager (Full Stack/Frontend), and more.

## Sources
1. [wand.ai](https://wand.ai/)
2. [wand.ai/careers](https://wand.ai/careers)
3. [LinkedIn - Wand AI](https://www.linkedin.com/company/wand1)
4. [wand.ai - Meet Wand: What We Build, Why It Matters](https://wand.ai/blog-old2/meet-wand-what-we-build-why-it-matters)
5. [CB Insights - Wand AI](https://www.cbinsights.com/company/wand-1)

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