LLM Engineer (Generative AI & Large Language Models)
Tasks
- Apply prompt engineering
- Build AI agent workflows
- Build test deploy and optimize LLM powered solutions
- Conduct technical validation and quality assurance
- Create reusable AI frameworks
- Design retrieval-augmented generation solutions
- Develop enterprise applications with large language models
- Follow LLMOps best practices
- Follow MLOps best practices
- Implement AI application deployment monitoring
- Integrate Large Language Model APIs
- Optimize model parameters
- Run proof of concept initiatives
- Share internal technical knowledge
- Translate business requirements into scalable AI applications
- Validate performance and quality of AI deliverables
Perks/Benefits
Skills/Tech-stack
AI Agents | AI platforms | API Integration | BigQuery | Cloud AI | Cloud AI Platforms | Databricks | LLMOps | Language Models | Large Language Models | MLOps | Prompt engineering | Python | Retrieval-Augmented Generation | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI Engineer | Engineer | Generative AI Engineer | LLM Engineer
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