AI Engineer

🕒 May 15

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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

• About HuzzleAt Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. • Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. • **Role Type: Full-time** • **Engagement: Independent Contractor** • Job SummaryWe are seeking a skilled and innovative **Remote AI Engineer** with experience in machine learning, large language models (LLMs), and AI application development. You will work closely with product managers, software engineers, and data teams to design intelligent systems, develop AI-powered features, and improve model performance across various applications. • This is an exciting opportunity for someone passionate about artificial intelligence, automation, and scalable software development. • Key Responsibilities • - Design, develop, and deploy AI and machine learning models for production environments. • - Build AI-powered applications using LLMs such as GPT, Claude, Gemini, or open-source models. • - Create and optimize prompt engineering workflows for generative AI applications. • - Develop APIs and backend systems that integrate AI services into web and mobile applications. • - Fine-tune models and improve inference performance, latency, and scalability. • - Work with structured and unstructured datasets for model training and evaluation. • - Collaborate with cross-functional teams to translate business needs into AI solutions. • - Implement vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines. • - Monitor AI system performance and continuously improve reliability and accuracy. • - Stay updated with the latest advancements in AI, machine learning, and automation technologies.

🎯 Requirements

• - 3+ years of experience in software engineering, machine learning, or AI development. • - Strong proficiency in Python and modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face. • - Experience working with OpenAI APIs, Anthropic, Gemini, or similar AI platforms. • - Familiarity with LLMs, RAG architectures, vector databases, and prompt engineering. • - Experience building REST APIs and scalable backend systems. • - Knowledge of cloud platforms such as AWS, GCP, or Azure. • - Understanding of CI/CD pipelines, Docker, and cloud deployment workflows. • - Strong problem-solving and analytical thinking skills. • - Excellent communication skills and ability to work independently in a remote environment. • - Bachelor’s degree in Computer Science, Engineering, AI, Data Science, or related field preferred. • - Experience deploying AI agents or autonomous workflows. • - Familiarity with MLOps tools and AI monitoring systems. • - Experience with Pinecone, Weaviate, FAISS, or ChromaDB. • - Knowledge of frontend frameworks such as React or Next.js is a plus. • - Previous experience in SaaS or startup environments.

🏖️ 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