Middle AI Engineer
Tasks
- Apply prompt engineering
- Build and fine-tune NLP models
- Build incident triage systems
- Create operational decision support
- Create scalable AI APIs
- Design agentic AI solutions
- Develop and deploy LLM applications
- Develop anomaly detection pipelines
- Evaluate AI models
- Implement automation pipelines
- Implement continuous learning systems
- Implement model serving microservices
- Implement retrieval-augmented generation
- Integrate AI with infrastructure workflows
Perks/Benefits
- Hybrid or remote flexibility
- International projects
- Medical healthcare
- Ongoing learning reimbursement
- Referral bonuses
- Team events and local benefits
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
AWS | Azure | Cloud platform | Deep learning | Docker | Google Cloud | Google Cloud Platform | Hugging Face | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | Model Evaluation | Natural Language | Natural Language Processing | Observability | Prompt engineering | PyTorch | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Telemetry | TensorFlow | Transformers
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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