
51 - 200 employees
Founded 2022
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą SaaS
Wand AI is an enterprise software company (Wand Synthesis AI Inc. ) that builds the âAgentic Labor Infrastructureâ 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, onâpremise/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.
đ„ 0 minutes ago
â© Asia â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ·đ»ââïž Engineer
đ» Ghost score 12%
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51 - 200 employees
Founded 2022
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą SaaS
Wand AI is an enterprise software company (Wand Synthesis AI Inc. ) that builds the âAgentic Labor Infrastructureâ 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, onâpremise/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.
âą Work directly with enterprise customers to understand business needs, operational workflows, pain points, and success criteria âą Design, build, and present agentic solutions, prototypes, and workflows demonstrating customer value âą Own end-to-end technical deployments of Wand for US enterprise customers, from evaluation and solution design through production go-live âą Translate customer needs into solution designs, agent architectures, workflow logic, integration specifications, and deployment plans âą Present technical solutions, demos, prototypes, and deployment plans to technical teams, business leaders, and executives âą Troubleshoot APIs, authentication, data, workflow logic, agent behavior, and customer systems âą Support late-stage pre-sales involving solution design, technical feasibility, implementation planning, and customer value demonstration âą Create implementation playbooks, solution patterns, demo flows, and deployment documentation
âą Demonstrated hands-on experience in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, AI Engineer, Implementation Engineer, Solutions Architect, Technical Consultant, or similar âą Strong experience building agents, agentic workflows, LLM-powered applications, or AI automation solutions âą Ability to understand customer needs quickly and translate them into working technical solutions âą Strong practical experience with LLMs, prompt engineering, tool-calling, RAG, orchestration, multi-agent workflows, evaluation, and agent behavior debugging âą Experience with LangGraph, LangChain, CrewAI, or similar agentic/LLM development frameworks âą Strong hands-on skills with APIs, integrations, scripting, debugging, and cloud/web environments âą Coding or scripting ability in Python, JavaScript/TypeScript, or similar âą Ability to build quickly, demo effectively, and iterate based on customer feedback âą Clear communication with technical and non-technical audiences âą High ownership and comfort with ambiguity and shifting priorities âą Experience deploying AI, agentic, automation, or enterprise SaaS products into production environments âą Experience building customer-facing demos, prototypes, or proof-of-value solutions âą Experience in pre-sales, post-sales, implementation, or field engineering environments âą Integration experience with REST APIs, webhooks, OAuth, JWT, mTLS, and third-party enterprise systems âą Experience with VPC or on-prem deployments, cloud infrastructure, containers, databases, logs, and production troubleshooting âą Familiarity with enterprise security, data privacy, RBAC, audit, governance, and compliance requirements âą Experience working with regulated industries or enterprise customers with complex security and compliance needs âą Prior startup experience in an early-stage or high-growth setting
âą AI Notetaker used to record and transcribe interviews, with the option to opt out without impacting candidacy
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