Senior Software Engineer, AI
Tasks
- Architect reusable agent infrastructure
- Build and optimize RAG pipelines
- Build evaluation datasets and pipelines
- Clearly communicate technical concepts
- Contribute to production AI systems
- Define and instrument metrics
- Design AI evaluation frameworks
- Identify driver signals for agent quality
- Lead technical discussions
- Make build vs. buy decisions for LLMs
- Operate in ambiguous and defined problems
- Partner with engineering leads
- Prioritize product and team needs
- Review code and documentation
- Scope and own projects
- Surface issues early
Perks/Benefits
- Dental insurance
- Disability insurance
- Disaster support
- Financial planning
- Learning & development budget
- Life insurance
- Medical insurance
- Paid time off
- Parental leave
- Remote work stipend
- Retirement plan
- Wellness apps
- Work-from-Home Setup Stipend
Skills/Tech-stack
AI Evaluation | AI research | AWS | Agent Orchestration | CI/CD | Cloud Native | Cloud Native Architecture | Data Analysis | Evaluation metrics | Fine Tuning | GCP | Langgraph | Langsmith | ML Experimentation | MLOps | Model Deployment | Model Fine-tuning | Open Source | Prompt engineering | Python | RAG Pipelines | Statistics | TypeScript (plus) | Vector Databases
Education
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