AI Engineer

Huzzle is a fast-growing career platform that connects top talents with leading companies across the UK, US, Europe & Australia. It serves over 200,000 professionals at all career stages, offering personalized job opportunities, skill-building tools, and professional development resources. Clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.

• 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.

• 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.