AI/LLM Engineer
USD 101K-203K Mid-level Full Time
Tasks
- Build RAG pipelines
- Collaborate with stakeholders to define requirements
- Design LLM-powered applications
- Develop prompt engineering frameworks
- Ensure security governance and responsible AI
- Evaluate and optimize model prompts
- Implement monitoring logging and feedback loops
- Implement vector search and embeddings
- Prototype and iterate AI features
Perks/Benefits
Skills/Tech-stack
AWS | Anthropic | Apache Spark | Atlas Vector Search | Azure | CI/CD | Cloud platform | Docker | Embeddings | Faiss | FastAPI | Flask | GRPC | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Kubernetes | Langchain | Language Processing | Llamaindex | Logging | MLOps | Machine Learning | Model Evaluation | MongoDB Atlas | MongoDB Atlas Vector Search | Monitoring | Natural Language | Natural Language Processing | Observability | OpenAI | Pandas | Pinecone | Prompt engineering | Python | REST | Retrieval-Augmented Generation | SQL | Semantic Kernel | Vector Search | Vertex AI | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/LLM Engineer | Engineer | LLM Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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