Middle AI Engineer
Tasks
- Apply prompt engineering and RAG
- Build automation pipelines for anomaly detection
- Build automation pipelines for incident triage
- Collaborate with SRE and DevOps for AI deployment
- Design and implement agentic AI solutions
- Develop and deploy LLM applications
- Develop scalable AI APIs and microservices
- Fine tune models for natural language understanding
- Implement model evaluation and continuous learning
- Integrate AI capabilities into infrastructure and workflows
- Provide operational decision support
Perks/Benefits
- Hybrid or remote flexibility
- International projects
- Medical healthcare
- Ongoing learning reimbursement
- Recognition program
- Referral bonuses
- Sports compensation
- Team events
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
AWS | Azure | Docker | Google Cloud | Hugging Face | Hugging Face Transformers | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | Microservices | Model Deployment | Observability | Prompt engineering | PyTorch | Python | Reinforcement Learning | Retrieval-Augmented Generation | Telemetry | TensorFlow | Transformers
Education
N/A
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