Software Engineer, Applied AI
Tasks
- Architect prompt systems and context structures
- Build and integrate retrieval memory evaluation feedback loops
- Contribute production code
- Create benchmarks and evaluation suites
- Design LLM backed agent workflows
- Develop AI systems for enterprise platform
- Develop legal and compliance domain expertise
- Enable continuous learning with memory and feedback
- Implement prompt optimization pipelines
- Oversee data collection experimentation and analysis
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Hybrid work model
- Professional development
- Relocation reimbursement
- Vision insurance
Skills/Tech-stack
Context engineering | Data Processing | Data Storage | Debugging | Docker | Evaluation | Language Models | Large Language Models | Machine Learning | Monitoring | PDF Parsing | Postgres | Prompt engineering | Python | React | Redis | Retrieval-Augmented Generation | TypeScript | Uncertainty Modeling | Unstructured Data | Unstructured Data Processing | Vector Databases
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
Regions
Countries
States
Cities
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