About the role
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.