AI Engineer

🔥 5 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 51 days.
• 35 open roles for a team of 37.
• No salary listed.

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RemoteStar

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

RemoteStar is a global recruitment service that specializes in hiring top-quality tech talent. By assembling diverse teams with vetted developers from various regions, RemoteStar ensures high-quality staffing while maximizing cost efficiency for companies. The service includes a rigorous vetting process, technical matching, and full onboarding support, allowing businesses to focus on their core operations while RemoteStar handles the administrative aspects of recruitment and team management.

📋 Description

• Design, build, and maintain AI-powered skills, plugins, and agentic workflows for enterprise use • Troubleshoot workflow failures, system issues, and user challenges to ensure reliability and performance • Manage AI system configurations including model access, rate limits, usage policies, and team settings • Support prompt engineering initiatives by creating robust system prompts and instructions for real-world usage • Integrate and connect tools across multiple ecosystems, including Anthropic and Microsoft environments • Collaborate with cross-functional teams to identify use cases and implement practical AI solutions • Advise stakeholders on AI tool selection and best-fit solutions for specific business problems • Translate emerging AI capabilities into scalable and usable enterprise solutions • Operate in a fast-paced environment with evolving tools, priorities, and use cases

🎯 Requirements

• 5–8 years of experience in software engineering or AI system development • Proven experience building and deploying AI systems in production environments • Hands-on experience with Claude tools (Chat, Code, Cowork) or similar AI platforms • Strong experience with workflow automation tools such as n8n or equivalent platforms • Strong prompt engineering expertise for consistent and scalable AI outputs • Solid understanding of APIs, scripting, debugging, and system integrations • Experience with agentic architectures or managed AI systems • Strong problem-solving and troubleshooting skills in distributed systems • Excellent communication skills to work with both technical and non-technical stakeholders • Ability to work in ambiguous, fast-changing environments and deliver practical solutions • Experience with M365 Copilot administration or deployment • Exposure to cybersecurity or GRC environments • Understanding of enterprise AI security and compliance considerations • Experience evaluating AI deployment strategies in regulated environments

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