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, develop, and deploy AI/ML models for production environments. • Build and optimize AI-powered applications using large language models (LLMs) and generative AI tools. • Develop intelligent automation workflows, chatbots, recommendation systems, and predictive analytics solutions. • Fine-tune, evaluate, and improve machine learning models for performance and scalability. • Collaborate with software engineers and product teams to integrate AI features into existing platforms. • Work with structured and unstructured datasets for training and inference pipelines. • Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. • Monitor AI systems, troubleshoot issues, and continuously improve model accuracy and efficiency. • Stay updated with the latest advancements in AI, machine learning, and automation technologies. • Maintain documentation for AI models, systems, and workflows.

🎯 Requirements

• 3+ years of experience in AI engineering, machine learning, or related software engineering roles. • Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or LangChain. • Hands-on experience working with OpenAI APIs, LLMs, generative AI, or NLP systems. • Experience deploying machine learning models into production environments. • Familiarity with vector databases, embeddings, and RAG architectures. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Knowledge of Docker, Kubernetes, APIs, and CI/CD pipelines is a plus. • Strong understanding of data structures, algorithms, and software engineering best practices. • Excellent problem-solving and analytical skills. • Strong communication skills and ability to work in a remote, collaborative environment.

🏖️ 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