Senior Software Engineer, AI
Tasks
- Architect AI agent systems
- Build evaluation datasets and test harnesses
- Conduct code reviews and technical mentorship
- Define AI performance metrics
- Design and implement AI evaluation infrastructure
- Develop retrieval-augmented generation systems
- Evaluate build versus buy for LLM tooling
- Improve production reliability and observability
- Optimize retrieval quality
- Own projects end to end
Perks/Benefits
- Employee support programs
- Health coverage
- Holidays
- Learning and development budget
- Paid time off
- Parental leave
- Remote work stipend
- Retirement savings plan
- Wellness apps
- Wellness support
Skills/Tech-stack
AI Observability | AWS | Agent Orchestration | Agent systems | CI/CD | Data Analysis | Event Driven | Event-driven architecture | Experiment design | GCP | Langgraph | Langsmith | Language Models | Large Language Models | MLOps | Machine Learning | Metric selection | Model Deployment | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | RAG | Retrieval systems | Retrieval-Augmented Generation | Serverless | Statistical experimentation | Vector Databases
Education
N/A
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