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AI Engineer

AJAIA•United States•🌍 Remote
Full-timeMid Level
$13K
per year
👁️ 0 views•📝 0 applications•Posted 11/10/2026•Expires 12/11/2026
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Job Description

About the Company Ajaia is a rapidly growing AI consultancy and product studio dedicated to helping organizations move from experimentation to real results. We operate across four core pillars: AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development.

In addition to client services, Ajaia builds proprietary AI products, copilots, and vertical solutions that solve high-value industry problems. This dual model allows us to translate hands-on implementation experience into scalable products while continuously refining our approach through real-world deployment.

Our operating model combines deep technical execution with practical change management, enabling enterprises to deploy secure, compliant, and high-impact solutions that drive measurable operational value.

From executive roadmapping to production-ready systems and workforce upskilling, Ajaia embeds intelligent tools directly into the workflows that matter most. Mission: Help organizations win the AI moment.

Position Overview As an AI Engineer at Ajaia, you will build AI-enabled software across both client engagements and internal product initiatives where technical speed, adaptability, and execution quality matter.

You will own features from start to finish: take loosely defined requirements, clarify the real problem, and ship robust solutions across web interfaces, backend services, LLM integrations, and AI-driven workflows.

You will also set up the infrastructure, deployments, and security those features need to run safely in production. This is an individual contributor role for someone who builds with autonomy while working closely with product, delivery, and client-facing teams, and who helps newer engineers along the way.

Every role at Ajaia is AI-forward. We expect engineers to use AI tools in daily workflows across research, implementation, debugging, testing, and documentation. AI usage is a core execution capability, not optional tooling.

Required Skills

Change ManagementDocumentation

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