Forward Deployed Engineer - Akai
New
J
JobgetherAI automation
Based in the United States, Ability to work across relevant time zones according to team requirements.Full-TimeMiddle
SalaryAnnual gross base salary ranging from $130,000 to $160,000 USD
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Job Details
- Experience
- At least 3–5 years of relevant professional experience is preferred. Exceptional candidates with approximately two years of experience may also be considered.
- Required Skills
- SQLRESTful APIsJSONLLM
Requirements
- Relevant professional experience is preferred; candidates with approximately two years may also be considered.
- Experience in management consulting, entrepreneurship, product strategy, solutions engineering, or a similar role in a fast-moving organization, or relevant transferable skills.
- Hands-on experience building AI-powered prototypes, agents, or automations using modern tools and large language models.
- Understanding of the capabilities, limitations, and practical business applications of AI tools and large language models.
- Ability to independently prototype, troubleshoot, and refine solutions using SQL, lightweight scripting, APIs, no-code tools, and structured data such as JSON.
- Ability to build customer trust, lead discovery conversations, present recommendations, and demonstrate working AI prototypes to technical and non-technical audiences.
- Understanding of how customer outcomes connect to business value, revenue growth, account expansion, and long-term adoption.
- Ability to adapt to shifting priorities and resolve technical or operational challenges hands-on.
- Ability to work effectively with customers, engineers, product managers, and go-to-market teams while owning individual deliverables.
- Preferred: engineering, mechanical engineering, or applied science background; experience launching internal tools or AI automations; or domain knowledge in finance, treasury, payments, KYB/AML, logistics, HR, or payroll.
Responsibilities
- Manage customer engagements from discovery and workflow analysis through solution design, prototyping, deployment, adoption, and expansion.
- Partner with senior technical colleagues on enterprise accounts and manage day-to-day execution of project workstreams.
- Analyze customer systems, business processes, operational bottlenecks, and automation opportunities with stakeholders.
- Prototype, test, and launch AI agents using AI development platforms, large language models, and lightweight scripting.
- Gather user feedback, troubleshoot issues, and refine agents and solutions.
- Implement smaller product enhancements and coordinate complex technical requirements with engineering teams.
- Support post-launch adoption, measure solution impact, and help customers realize operational benefits.
- Identify opportunities to extend solutions across customer accounts and support expansion with product and go-to-market teams.
- Share customer feedback and product gaps, improve internal tools, and help establish scalable implementation practices.
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