Senior AI Engineer
Tasks
- Build ML pipelines and LLMOps infrastructure
- Collaborate with customers to translate problems into solutions
- Create evaluation frameworks for AI reliability
- Deploy machine learning models in production
- Design and build agentic AI systems
- Develop and deploy LLM-powered applications
- Develop scalable backend services and APIs
- Implement Responsible-AI guardrails
- Integrate AI models into enterprise environments
- Own end to end AI development lifecycle
- Support pre sales proof of concept engagements
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Docker | Fine Tuning | Function Calling | Google Cloud | Google Cloud Platform | Kubernetes | LLMOps | Langchain | Llamaindex | Machine Learning | Model Evaluation | Prompt engineering | PyTorch | Python | RAG | REST APIs | RLHF | Responsible AI | Scikit-learn | TensorFlow | Tool use
Education
N/A
Roles
Regions
Countries
States
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