Senior LLM Engineer
Tasks
- Build LLM-based agents
- Create prompts and evals
- Develop agent tools for code work
- Fix software bugs
- Follow LLM prompting research
- Generate code tests
- Implement dynamic instrumentation
- Improve system performance
- Integrate with Datadog IDE extensions
- Integrate with Datadog products
- Iterate with users and ship features
- Productionize LLM systems
- Prototype LLM workflows
Perks/Benefits
- Community guilds
- Employee stock purchase plan
- Inclusive company culture
- Mental health benefits
- Mentor and buddy program
- Professional development
- Stock equity
Skills/Tech-stack
AI evals | Agent tools | Backend Development | Code Analysis | Code editing | Development environments | Generative AI | Go | Integrated development environments | Java | LLM prompting | Language Models | Large Language Models | Large-scale | Large-scale Systems | Machine Learning | Performance optimization | Python | Scale systems | Software performance | Software performance optimization | Static Code Analysis
Education
N/A
Roles
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