Middle AI Engineer
Tasks
- Apply prompt engineering and Retrieval-Augmented Generation
- Build automation pipelines for incident triage and anomaly detection
- Design and implement agentic AI solutions
- Develop and deploy LLM applications
- Evaluate models and implement continuous learning systems
- Fine tune models for natural language understanding and prediction
- Implement scalable APIs for AI model serving
- Integrate AI capabilities into infrastructure and workflows
Perks/Benefits
- Hybrid/Remote flexibility
- Medical healthcare
- Ongoing learning reimbursement
- Team events
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
APIs | AWS | Azure | Deep learning | Docker | Google Cloud | Hugging Face | Hugging Face Transformers | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Deployment | Observability | Prompt engineering | PyTorch | Python | 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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