AI Engineer – ML, LLM & Agentic AI
Tasks
- Build RAG pipelines
- Build train evaluate deploy machine learning models
- Create evaluation frameworks
- Deploy and operate AI systems
- Develop AI APIs and production services
- Develop production LLM applications
- Implement model fine-tuning techniques
- Monitor systems in production
- Own AI initiatives end to end
- Translate product problems into AI solutions
- Use AI coding agents to accelerate development
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Azure | CI/CD | Deep learning | Docker | Embeddings | Function Calling | Google Cloud | Kubernetes | Language Models | Large Language Models | LoRA | Machine Learning | Milvus | PEFT | PGVector | Pinecone | Prompt engineering | PyTorch | Python | QLoRA | Qdrant | RAG | Retrieval-Augmented Generation | Scikit-learn | Structured outputs | TensorFlow | Tool-Calling | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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