AI Engineer
Tasks
- Build AI first backend services
- Deploy and monitor AI models in production
- Design AI native system architectures
- Develop AI agents and multi-agent workflows
- Develop and fine-tune large language models
- Implement retrieval-augmented generation pipelines
- Optimize vector similarity search
- Own end to end MLOps lifecycle
- Serve and optimize open source LLMs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Asyncio | CI/CD | Chroma | DeepEval | Django | Docker | Embeddings | FastAPI | Flask | GPU Orchestration | Google Cloud | Hugging Face | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | Microsoft Azure | Milvus | Model Quantization | Ollama | PGVector | Pinecone | Prompt engineering | PyTorch | Python | Ragas | Retrieval-Augmented Generation | SGLang | Similarity Search | TensorFlow | Transformers | Type hinting | VLLM | Vector Databases | Vector similarity | Vector similarity search | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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