Huzzle
SaaS, MarTech, FinTech, AI
AIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Engineer at Huzzle. Skills: AI/ML models, LLMs, Generative AI, Cloud platforms. Design AI/ML models. Develop AI/ML models”
What You'll Achieve.
Build intelligent systems; Power automation; Power analytics; Power conversational AI; Power predictive capabilities; Real business impact
Industry & Context.
Problem-solving skills; Analytical skills
What They're Looking For.
Must Have
3+ years of experience in AI engineering, experience with Python, experience with AI/ML frameworks, experience with OpenAI APIs, experience with LLMs, experience with generative AI, experience with NLP systems, Experience deploying machine learning models into production environments, Experience with cloud platforms, understanding of data structures, understanding of algorithms, understanding of software engineering best practices, Excellent problem-solving skills, analytical skills, communication skills
Nice to Have
Knowledge of Docker, Knowledge of Kubernetes, Knowledge of APIs, Knowledge of CI/CD pipelines, Familiarity with vector databases, Familiarity with embeddings, Familiarity with RAG architectures
What You'll Do.
Build AI-powered applications
Optimize AI-powered applications
Develop intelligent automation workflows
Develop recommendation systems
Develop predictive analytics solutions
Fine-tune machine learning models
Evaluate machine learning models
Improve machine learning models
Implement prompt engineering strategies
Implement RAG systems
Improve model accuracy
Improve model efficiency
Stay updated with AI advancements
Maintain documentation
How You'll Work.
Team & Collaboration
Collaborate with product teams; Collaborate with engineering teams; Collaborate with leadership teams; Collaborate with software engineers; Work in a remote, collaborative environment
Communication Scope
Communication skills
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 highly skilled AI Engineer to design, develop, and deploy scalable AI and machine learning solutions. You’ll work closely with product, engineering, and leadership teams to build intelligent systems that power automation, analytics, conversational AI, and predictive capabilities. This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and solving real-world business challenges with cutting-edge technology. ### Key Responsibilities * 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 engin
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