Wand AI
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.
Staff Software Engineer, AI – Org & Governance
🔥 10 minutes ago
Neo4j
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Wand AI
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
• Design and build AI and agentic systems that analyze organizational data to catch policy violations, compliance risks, and governance issues. • Build agents and pipelines that use LLMs to reason over large volumes of data. • Architect and build knowledge graph systems that model organizational structure and relationships. • Take a fuzzy, undefined problem, propose a real technical approach, defend it, then build it. • Bring engineering rigor to testing, evaluating, and iterating on performance. • Partner with the Org Intelligence team to get AI-driven insight into governance and compliance surfaces. • Contribute across the stack, though the core is the AI and agent layer, not the UI.
🎯 Requirements
• A track record of building AI systems as a creator, not a consumer. • Experience building or working with knowledge graphs in a real, shipped system. • Experience building agents or LLM based systems that reason over unstructured or ambiguous data. • Comfortable owning a project from architecture to delivery with real autonomy. • Strong software engineering fundamentals and independence in a fast moving team. • A history of turning fuzzy, non-trivial problems into concrete, working systems. • Practical experience with knowledge graph tooling: graph databases and query languages such as Neo4j/Cypher, RDF/SPARQL, Amazon Neptune, or similar. • Hands on experience with LLM provider APIs (OpenAI, Anthropic, or similar) and agent frameworks such as LangChain or LangGraph. • Comfortable with retrieval infrastructure like vector databases (Pinecone, Weaviate, pgvector, or similar) for grounding agent reasoning in organizational data. • Strong in a language well suited to graph construction, agent pipelines, and data analysis
🏖️ Benefits
• Health insurance • Professional development opportunities • Flexible working arrangements
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