Huzzle
SaaS, MarTech, FinTech, AI
AIEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“AI Engineer at Huzzle. Skills: AI, Machine Learning, LLMs, Python. Design AI models. Develop AI models”
What You'll Achieve.
Build intelligent tools; Improve workflows; Enhance customer experiences; Drive business growth; Deliver scalable solutions
Industry & Context.
problem-solving skills; analytical thinking skills
What They're Looking For.
Must Have
Python, AI/ML frameworks, TensorFlow, PyTorch, LangChain, Hugging Face, APIs, cloud platforms, AI model integrations, vector databases, embeddings, RAG pipelines, prompt engineering, backend development, scalable architecture, SQL, data pipelines, model evaluation techniques, AI SaaS products, automation tools
Nice to Have
MLOps, Docker, Kubernetes, AWS, GCP, Azure, conversational AI, NLP, computer vision applications, CRMs, support systems, workflow automation platforms, remote work with international teams
What You'll Do.
Optimize LLM workflows
Develop AI automation systems
Integrate AI solutions
Improve AI model performance
Monitor AI system performance
Stay updated on AI trends
How You'll Work.
Team & Collaboration
Collaborate with product teams; Collaborate with engineering teams; Collaborate with data teams; Collaborate with software engineers; Collaborate with product managers; Collaborate with stakeholders; Direct collaboration with team
Communication Scope
communication abilities; collaboration abilities
Full Job Description
### About Huzzle At 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 Summary We are looking for a skilled and innovative AI Engineer to design, develop, and deploy AI-powered applications and machine learning solutions. This role is ideal for candidates passionate about artificial intelligence, large language models (LLMs), automation, and scalable software systems. You will collaborate with product, engineering, and data teams to build intelligent tools that improve workflows, enhance customer experiences, and drive business growth. ### Key Responsibilities * 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
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