Artificial Intelligence Engineer

We are seeking a talented AI Developer to join our dynamic team and contribute to the creation of state-of-the-art AI solutions. The ideal candidate will bring hands-on expertise in Python, Large Language Models (LLMs), vision models, and generative AI technologies. This role focuses on developing and deploying AI applications using tools such as Azure AI Studio, vector databases, and Retrieval-Augmented Generation (RAG) frameworks, while working closely with senior team members to deliver robust, high - quality solutions that drive innovation.

Required Skills:

• Programming: Python (expert-level), REST APIs, Git for version control.
• AI/ML Frameworks: TensorFlow, PyTorch, or similar libraries for model development.
• Technologies: LLMs, vision models, generative AI, vector databases, RAG applications, prompt engineering.
• Azure Ecosystem: Azure AI Studio, Azure Blob Storage, Event Hub, Kafka.
• Frameworks: Agentic frameworks, LlamaIndex.
• Soft Skills: Problem-solving, teamwork, adaptability, and attention to detail.

Key Responsibilities:

• Design, develop, and implement AI solutions using Python, with a focus on LLMs, vision models, and generative AI technologies.
• Build, test, and optimize RAG applications, leveraging eTective prompt engineering techniques to improve model performance.
• Integrate AI models with Azure AI Studio, SharePoint, and Azure Blob Storage for eTicient deployment and data handling.
• Utilize vector databases and Agentic frameworks (e.g., LlamaIndex) to enhance the functionality and intelligence of AI systems.
• Implement event-driven architectures using tools like Event Hub and Kafka for real-time data processing and scalability.
• Develop basic visualizations and dashboards in Power BI to present AI model insights and results.
• Collaborate with the AI Lead and team members to troubleshoot issues, test models, and ensure successful deployment.
• Write clean, eTicient, and well-documented code adhering to best practices and version control standards.
• Stay current with emerging AI tools, frameworks, and technologies to continuously improve development processes and outcomes.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• 3-5 years of hands-on experience in AI/ML development, with an emphasis on generative AI and related technologies.
• Proven expertise in developing and deploying LLMs, vision models, vector databases, and RAG applications.
• Strong proficiency in Azure AI Studio, Azure Blob Storage, Event Hub, Kafka, and SharePoint integration.
• Basic experience with Power BI for creating data visualizations and dashboards.
• Familiarity with Agentic frameworks and tools like LlamaIndex for advanced AI development.
• Ability to thrive in a collaborative team environment while managing multiple tasks eTectively.

Preferred Skills:

• Exposure to cloud fundamentals (Azure preferred) and containerization tools like Docker.
• Experience with CI/CD pipelines for AI model deployment.
• Understanding of RESTful services and API integration