AI Engineer

🕒 May 11

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Huzzle.com

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎯 Recruiter

👥 HR Tech

☁️ SaaS

💰 $1.8M Pre Seed Round - Huzzle on 2024-04

Recruitment • HR Tech • SaaS

Huzzle. com is an AI-native hiring platform that connects companies with pre-vetted, remote talent—especially sales and go-to-market roles—through a streamlined sourcing, interviewing, hiring, and payroll workflow. The platform uses AI-driven candidate search and automated interviews (with expert review) to surface high-quality candidates quickly, then handles contracts, onboarding, and cross-border payroll and compliance so employers can hire globally in days. It also offers a candidate-facing experience that matches applicants to remote roles after a single 20-minute interview and provides a curated talent marketplace.

📋 Description

• Design, build, and deploy AI and machine learning solutions for real-world business applications. • Develop and maintain applications using Large Language Models (LLMs) such as GPT-based systems. • Build AI-powered automations, copilots, chatbots, and workflow systems. • Fine-tune, evaluate, and optimize machine learning models for performance and scalability. • Integrate AI systems with APIs, databases, CRMs, and third-party platforms. • Collaborate with product and engineering teams to translate business requirements into AI-driven solutions. • Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. • Monitor model performance, reliability, and cost efficiency in production environments. • Maintain documentation, testing procedures, and deployment workflows. • Stay updated on the latest AI trends, frameworks, and emerging technologies.

🎯 Requirements

• 3+ years of experience in AI Engineering, Machine Learning, or Software Engineering. • Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. • Experience working with LLMs, OpenAI APIs, Anthropic, Gemini, or similar AI platforms. • Familiarity with vector databases, embeddings, and RAG architectures. • Experience deploying AI applications using cloud platforms such as AWS, GCP, or Azure. • Strong understanding of APIs, backend systems, and scalable application architecture. • Experience with Docker, Git, CI/CD pipelines, and modern development practices. • Excellent problem-solving and analytical thinking skills. • Strong communication skills with the ability to work in remote, cross-functional teams. • Bonus: Experience building AI agents, automation systems, or voice AI applications.

🏖️ Benefits

• 💰 Competitive salary based on experience and location • 🌎 Fully remote role with flexible work environment • 🚀 Work on cutting-edge AI automation projects with real business impact • 📈 Strong growth opportunity into senior AI / systems roles • 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design • 🤝 Direct collaboration with a fast-moving, high-performance team