Senior IA Engineer (Fullstack)

Qualifications:

Bachelor Degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field. Minimum Years of Experience: 3 years.

Preferred Knowledge/Skills:

Designing, training, and deploying machine learning models and Large Language Models (LLMs) into production environments. Developing scalable, cloud‐native microservices using Docker and Kubernetes. Building end‐to‐end AI applications integrated into web, mobile, or API‐first platforms. Managing CI/CD pipelines and observability for AI systems with Git Hub Actions and MLflow. Implementing vector databases, Retrieval‐Augmented Generation (RAG) pipelines, and orchestration tools like Lang Chain and Llama Index. Building and integrating multi‐agent frameworks (e.g., Lang Graph, Lang Flow) to enable autonomous AI task execution. Translating complex business problems into software‐engineered AI solutions aligned with best practices. ...