AI Engineer

🕒 May 15

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Huzzle.com

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 and machine learning models for real-world applications. • Build and optimize LLM-powered workflows using tools such as OpenAI, Claude, Gemini, or open-source models. • Develop AI automation systems, chatbots, copilots, and intelligent assistants. • Integrate AI solutions into existing platforms, APIs, and SaaS products. • Fine-tune prompts and improve AI model performance through testing and iteration. • Work with structured and unstructured datasets for training and inference tasks. • Collaborate with software engineers, product managers, and stakeholders to deliver scalable solutions. • Monitor AI system performance, reliability, and accuracy. • Stay updated on emerging AI trends, frameworks, and technologies.

🎯 Requirements

• 2+ years of experience in AI engineering, machine learning, or software development. • Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. • Experience working with APIs, cloud platforms, and AI model integrations. • Familiarity with vector databases, embeddings, RAG pipelines, and prompt engineering. • Understanding of backend development and scalable architecture. • Experience with SQL, data pipelines, and model evaluation techniques. • Excellent problem-solving and analytical thinking skills. • Strong communication and collaboration abilities. • Experience working remotely with international teams is a plus. • Experience building AI SaaS products or automation tools. • Knowledge of MLOps, Docker, Kubernetes, or cloud infrastructure (AWS, GCP, Azure). • Familiarity with conversational AI, NLP, or computer vision applications. • Experience integrating CRMs, support systems, or workflow automation platforms. • Portfolio or GitHub projects demonstrating AI solutions.

🏖️ 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

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