Senior AI Engineer
Tasks
- Add function calling and tool use
- Build LLMOps infrastructure
- Build prompt engineering workflows
- Collaborate with customers to deliver AI solutions
- Contribute to proof-of-concept demonstrations
- Create evaluation frameworks
- Deploy AI services and backend APIs
- Design and build agentic AI systems
- Develop ML pipelines for production
- Develop and deploy LLM applications
- Implement Responsible-AI guardrails
- Implement rag pipelines
- Integrate models into cloud and hybrid environments
- Monitor model performance in production
- Perform fine tuning of language models
Perks/Benefits
- Career growth
- Flexible working environment
- Market leader total rewards
- Remote-friendly culture
- World-class team
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Docker | Fine Tuning | Google Cloud | Google Cloud Platform | Guardrails | Kubernetes | LLMOps | Langchain | Llamaindex | Model Evaluation | Prompt engineering | PyTorch | Python | RAG | REST APIs | RLHF | Scikit-learn | TensorFlow
Education
N/A
Roles
Regions
Countries
States
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