Senior Generative AI Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infojini, is seeking the following. Apply via Dice today!

Knowledge, Skills, and Abilities

• Deep Technical Expertise: Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or LangChain.
• Backend Mastery: Strong understanding of microservices architecture, web services, and API development for AI system integration.
• Data Infrastructure: Skill in managing vector databases and implementing ETL processes for AI training data.
• Cloud Agnostic Logic: Ability to design solutions that can operate seamlessly across a multi-cloud environment.
• Communication: Ability to explain complex technical backend issues to the Design and Program Specialists to ensure collective project success

Education Required

• Bachelor's Degree from an accredited college or university in Computer Science, Information Technology, or a related field is required.

Experience and Number of Years

• A minimum of five (5) years of professional experience in AI development, cloud computing, or software engineering.
• Hands-on experience building and deploying Large Language Models (LLMs) and
• Retrieval-Augmented Generation (RAG) systems.
• Proven experience with major cloud platforms such as Google Cloud (Vertex AI), Microsoft Azure, AWS, or Oracle OCI.
• Experience with containerization (Docker) and orchestration (Kubernetes) for scaling AI applications.

Preferred Certifications

• Microsoft Azure AI Engineer Associate (AI-102)
• Microsoft Azure Solutions Architect Expert (AZ-305)
• AWS Certified Machine Learning Specialty
• AWS Certified Solutions Architect Professional
• Google Cloud - Professional Machine Learning Engineer
• Google Cloud - Professional Cloud Architect
• Certified Kubernetes Administrator (CKA)
• Salesforce Certified AI Administrator
• TOGAF Certification