Forward Deployed Engineer

Wand Synthesis AI Inc

29d

About The Position

Wand turns AI into labor, enabling humans and AI agents to operate together as a unified, hybrid workforce with comprehensive management and oversight. We are building the world's first Agentic Labor Infrastructure, allowing 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, driving a generational leap in the global economy by building the infrastructure for safe, transparent, and scalable human-AI agent collaboration. We are seeking a Forward Deployed Engineer to join our high-performing global team, who take full ownership, move fast, make data-aware decisions, and continuously push for more, always focusing on delivering real value to customers. You will join a world-class team with experience from leading tech companies.

Requirements

• 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.
• Strong experience building agents, agentic workflows, LLM-powered applications, or AI automation solutions.
• Ability to understand customer needs quickly and translate them into working technical solutions, not just documentation or coordination plans.
• Strong practical experience with LLMs, prompt engineering, tool-calling, RAG, orchestration, multi-agent workflows, evaluation, and agent behavior debugging.
• Experience with frameworks or tools such as LangGraph, LangChain, CrewAI, or similar agentic/LLM development frameworks.
• Strong hands-on skills with APIs, integrations, scripting, debugging, and cloud/web environments.
• Coding or scripting ability in Python, JavaScript/TypeScript, or similar.
• Ability to build quickly, demo effectively, and iterate based on customer feedback.
• Clear communication with both technical and non-technical audiences.
• High ownership: you drive customer outcomes, unblock yourself, and move fast without waiting for perfect instructions.
• Comfort with ambiguity and shifting priorities in an early-stage, high-growth environment.

Nice To Haves

• Experience deploying AI, agentic, automation, or enterprise SaaS products into production environments.
• Experience building customer-facing demos, prototypes, or proof-of-value solutions.
• Experience working in pre-sales, post-sales, implementation, or field engineering environments.
• Integration experience with REST APIs, webhooks, OAuth, JWT, mTLS, and third-party enterprise systems.
• Experience with VPC or on-prem deployments, cloud infrastructure, containers, databases, logs, and production troubleshooting.
• Familiarity with enterprise security, data privacy, RBAC, audit, governance, and compliance requirements.
• Experience working with regulated industries or enterprise customers with complex security and compliance needs.
• Prior startup experience in an early-stage or high-growth setting.

Responsibilities

• Work directly with enterprise customers to understand their business needs, operational workflows, pain points, and success criteria.
• Design, build, and present agentic solutions, prototypes, and workflows that demonstrate value to customers.
• Own end-to-end technical deployments of Wand for US enterprise customers, from evaluation and solution design through production go-live.
• Translate customer needs into clear solution designs, agent architectures, workflow logic, integration specs, and deployment plans.
• Present technical solutions, demos, prototypes, and deployment plans to customer stakeholders, including technical teams, business leaders, and executives.
• Troubleshoot across APIs, authentication, data, workflow logic, agent behavior, and customer systems.
• Support late-stage pre-sales when solution design, technical feasibility, implementation planning, or customer value demonstration is critical.
• Create implementation playbooks, solution patterns, demo flows, and deployment documentation that make future deployments faster.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed