Senior Applied Scientist
Bogotá, Colombia
R
COP 88000K-94620K (estimate) Senior-level Full Time
Tasks
- Build evaluation methodology and regression suites
- Build production tooling and services for LLM systems
- Create benchmarks and scoring methods
- Design agent memory promotion and demotion criteria
- Design experiments to evaluate LLM based applications
- Develop eval builder tools
- Develop synthetic data generation
- Ensure safety and compliance in agent evaluations
- Implement self learning self improving agent systems
- Influence technical direction via design reviews
- Mentor scientists and engineers
- Translate GenAI advances into practical capabilities
- Validate memory criteria with statistical methods
Perks/Benefits
- Funeral assistance
- Home office stipend
- Internet allowance
- Life insurance
- Paid time off
- Personal Time Off
- Prepaid medicine
- Remote work
- Sick leave top-up
- Training budget
Skills/Tech-stack
AWS Bedrock | AWS EKS | AWS Lambda | AWS OpenSearch | AWS Textract | Agentic Memory | Benchmarking | Cost Optimization | Data Generation | DynamoDB | Evaluation Frameworks | Experiment design | GitHub Actions | Infrastructure as Code | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Latency optimization | Machine Learning | NestJS | Probability and statistics | Python | Regression testing | Reliability Engineering | Retrieval-Augmented Generation | S3 | Safety | Scoring | Significance Testing | Synthetic Data Generation | Synthetic data | Terraform | TypeScript | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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