Field AI Engineer: Ship Production Solutions

AiStudio Artificial Intelligence Technologies Ltd; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

AiStudio seeks a Forward Deployed Engineer who will be embedded with client teams to understand real business problems and ship production software end to end, from scoping a solution design to deploying something a client’s team relies on daily.

You’ll own architecture decisions, build production tools, data pipelines, and backend systems using modern stacks and AI APIs, while translating ambiguous asks into shipped features and collaborating with non-technical stakeholders to deliver

Qualifications

• 1–3 years of experience, or a strong track record of building things outside of formal roles.
• Strong CS fundamentals and genuine comfort shipping production code, not just prototypes.
• Ability to work with ambiguity and talk directly to non-technical stakeholders.
• Bias toward outcomes over process. You care whether the thing you built actually worked.

Responsibilities

• Scope and design technical solutions for live business problems, often replacing manual or legacy processes with automated, ML-driven ones
• Build production tools end to end. Data pipelines, backend architecture, automation using modern stacks and AI APIs
• Work directly with client stakeholders, translating ambiguous asks into shipped features
• Take ownership of your workstream, from architecture decisions to deployment tradeoffs

Skills

CS fundamentals

Production code

Stakeholder comms

Ownership mindset

Ambiguity handling

Tools

ML APIs

Data pipelines

Backend architecture

Automation stacks

Job description

AiStudio seeks a Forward Deployed Engineer who will be embedded with client teams to understand real business problems and ship production software end to end, from scoping a solution design to deploying something a client’s team relies on daily.

You’ll own architecture decisions, build production tools, data pipelines, and backend systems using modern stacks and AI APIs, while translating ambiguous asks into shipped features and collaborating with non-technical stakeholders to deliver