
Intelligent AI Solutions Architect
1 day ago
Job Overview
The Generative AI Engineer plays a pivotal role in developing, fine-tuning and integrating Large Language Models (LLMs) into enterprise applications.
Key Responsibilities:
- Develop and integrate LLMs into enterprise applications
- Implement prompt engineering techniques, embeddings and Retrieval Augmented Generation (RAG) pipelines
- Build and maintain APIs, microservices and front-end/back-end integrations for GenAI applications
- Work with vector databases to enable semantic search
- Deploy solutions on cloud AI platforms
- Optimize model performance, latency and scalability for real-world usage
- Collaborate with data scientists and solution architects to deliver production-ready applications
- Ensure AI solutions follow responsible AI, data privacy and security guidelines
Required Skills:
- Languages: Python, Java, C++, etc.
- Frameworks: TensorFlow, PyTorch, etc.
- Databases: Pinecone, FAISS, Weaviate, Milvus, etc.
- Cloud Platforms: Azure OpenAI, AWS Bedrock, GCP Vertex AI, etc.
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