AI Engineer

Job not on LinkedIn

🕒 August 26

🇵🇰 Pakistan – Remote

💵 $1k - $1.5k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Teamficient

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

📦 Logistics

📣 Marketing

✈️ Travel

Logistics • Marketing • Travel

Teamficient is a woman- and minority-owned company that provides managed remote-office solutions and dedicated virtual assistants to businesses. They supply trained, bilingual remote professionals and managed teams with US-based account managers, offering services such as administrative support, customer support, bookkeeping, technical support, and specialty support for driving schools and healthcare practices (including EHR support, patient scheduling, prescription coordination, and HIPAA/privacy training). Teamficient operates managed remote call centers, emphasizes training and security, and offers month-to-month engagements to help businesses scale and offload routine tasks.

📋 Description

• Design and build AI-powered applications using LLMs, RAG architectures, and other applied AI systems • Develop and maintain backend services supporting AI platforms and integrating with cloud infrastructure • Build and maintain integrations across various applications • Deploy, optimize, monitor, and troubleshoot AI solutions on AWS, Azure, and/or GCP • Implement containerization and orchestration strategies using Docker and Kubernetes • Ensure production AI systems meet performance, scalability, and reliability standards • Design scalable AI architectures translating business requirements into technical solutions • Collaborate with cross-functional teams throughout the full development lifecycle • Contribute to code reviews, technical documentation, and engineering best practices

🎯 Requirements

• 5+ years of professional experience in AI engineering, machine learning, or software engineering with an AI focus • Production deployment experience • Strong proficiency in Python and AI/ML frameworks • Degree in Computer Science, Engineering, or equivalent practical experience • 2–3 years of hands-on experience with LLMs and RAG architectures in production environments • Experience with vector databases • 3+ years of experience with AWS, Azure, or GCP • 2+ years of experience with Docker and Kubernetes • Familiarity with MLOps practices and model deployment and monitoring tools • Knowledge of Go, Java, or JavaScript/TypeScript • Experience with CI/CD pipelines and infrastructure as code, such as Terraform or CloudFormation • Contributions to open-source AI/ML projects or active participation in the AI community

🏖️ Benefits

• Fully remote culture designed for autonomy, flexibility, and trust • International exposure and collaboration with a multicultural, global team • Career growth and learning across different cultures and continents