Remote AI Engineer
Tasks
- Build LLM-powered AI applications
- Design machine learning models for production environments
- Develop APIs and backend systems for AI integration
- Fine tune models to improve inference performance
- Implement vector databases embeddings and RAG pipelines
- Monitor AI system performance and improve reliability
- Optimize prompt engineering workflows
- Train and evaluate models using structured and unstructured data
- Translate business needs into AI solutions
Perks/Benefits
- Direct collaboration
- Flexible work environment
- Fully remote
- Growth opportunity
- Work on cutting edge AI automation projects
Skills/Tech-stack
AWS | Anthropic | CI/CD | Chroma | Docker | Embeddings | Faiss | Fine Tuning | Google Cloud | Google Gemini | Hugging Face | Langchain | Language Models | Large Language Models | Latency optimization | MLOps | Machine Learning | Microsoft Azure | Model Monitoring | OpenAI API | Pinecone | Prompt engineering | PyTorch | Python | REST API | Retrieval-Augmented Generation | TensorFlow | Vector Database | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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