Deskripsi Pekerjaan
Join MCloudbridge as an AI Engineer at the forefront of intelligent system development! You'll architect cutting-edge solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous agentic AI frameworks. This role demands expertise in Python, LangChain integration, vector database optimization, and Azure deployment strategies to build scalable, production-ready AI applications. You'll collaborate with cross-functional teams to transform complex requirements into innovative AI solutions that drive business value.
Our ideal candidate thrives in dynamic environments where they can experiment with emerging AI paradigms while maintaining rigorous engineering standards. You'll contribute to projects that push the boundaries of what's possible with generative AI, ensuring systems remain efficient, secure, and ethically aligned. MCloudbridge offers a collaborative culture where your technical curiosity directly impacts product evolution.
Tanggung Jawab
- Design and implement LLM-powered solutions using Python and LangChain frameworks
- Develop RAG systems with vector databases (Pinecone/FAISS) for knowledge-intensive applications
- Build autonomous agentic AI workflows with multi-step reasoning capabilities
- Deploy and optimize AI models on Azure cloud infrastructure
- Integrate AI solutions with existing enterprise systems and APIs
- Monitor model performance and implement continuous improvement strategies
- Document technical specifications and create maintainable code repositories
Kualifikasi
- Bachelor's degree in Computer Science, AI, or related field (Master's preferred)
- 3+ years experience with Python and ML frameworks (TensorFlow/PyTorch)
- Proficiency in LangChain, vector databases, and prompt engineering
- Azure cloud deployment and DevOps practices
- Strong understanding of LLM architectures and transformer models
- Experience building production-grade AI systems
- Excellent problem-solving and communication skills