Found Description
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 GitHub Actions and MLflow.
- Implementing vector databases, Retrieval‑Augmented Generation (RAG) pipelines, and orchestration tools like LangChain and LlamaIndex.
- Building and integrating multi‑agent frameworks (e.g., LangGraph, LangFlow) to enable autonomous AI task execution.
- Translating complex busine...
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