AI Engineer
Tasks
- Build RAG pipelines
- Build scalable AI inference pipelines
- Collaborate with engineers and stakeholders
- Deploy and monitor AI applications
- Design AI solutions with LLMs
- Develop production AI features end to end
- Ensure performance scalability reliability security
- Integrate AI into cloud infrastructure
- Prepare data for model training
- Use AI-assisted development tools
Perks/Benefits
- Autonomy
- Career growth
- Company-provided equipment
- International travel temporarily
- Remote-first
- Work-life balance
Skills/Tech-stack
AWS | Asynchronous programming | Database technologies | FastAPI | GitHub Copilot | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | PyTorch | Python | RAG | Retrieval-Augmented Generation | Semantic Search | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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