AI Engineer

We are seeking an experienced AI Engineer to design, develop, and implement cutting-edge AI solutions, including Generative AI models, traditional algorithms, and advanced machine learning techniques. The ideal candidate will have strong expertise in Python, cloud technologies, and modern AI frameworks, with a focus on building scalable and production-ready AI applications.

Responsibilities:

• Develop and implement Generative AI models, LLMs, and traditional AI algorithms.
• Design and build agentic AI solutions for autonomous workflows and intelligent decision-making.
• Utilise statistical models and data science techniques for analysis and insights.
• Build and maintain APIs using FastAPI for AI applications.
• Work with Azure components including Redis Cache, ADLS, Kubernetes, and Azure Functions.
• Manage and optimise vector databases, relational databases, and MongoDB.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Use Jupyter Notebook for experimentation and prototyping.
• Implement CI/CD pipelines and follow DevOps practices.
• Participate in code reviews to ensure quality and adherence to standards.
• Stay updated with emerging AI technologies and industry trends.

Requirements:

• 5+ years of experience in Python programming.
• Hands-on experience with Jupyter Notebook and AI development workflows.
• Strong knowledge of Generative AI, LLMs, and traditional AI algorithms.
• Proven ability to design and develop agentic AI solutions.
• Experience with FastAPI for API development.
• Familiarity with Azure services (Redis Cache, ADLS, Kubernetes, Azure Functions).
• Expertise in vector databases, relational databases, and MongoDB.
• Knowledge of CI/CD pipelines, Git, and DevOps practices.

Skills

Azure, DevOps, FastAPI, GenAI, Kubernetes, LLM, MongoDB, generative AI, large language model, python