5 months ago
Base Salary
$250k - $350k/yr
Responsibilities
- Build agent execution infrastructure for reliable parallel processing of agents.
- Develop evaluation systems to measure agent quality and catch regressions.
- Optimize agent performance through context compression and prompt optimization.
- Create ontology and provenance systems to trace outputs back to sources.
- Integrate AI into production with robust error handling and cost optimization.
- Own systems end-to-end from design to production.
- Ensure production excellence through comprehensive testing and monitoring.
Requirements
- 7+ years of software engineering experience shipping production systems at scale.
- Proficiency in backend technologies such as Python or Node.js.
- Experience with distributed systems, PostgreSQL, Redis, and AWS.
- Familiarity with AI/ML systems, particularly LLMs and agent frameworks.
- Knowledge of large datasets, ETL pipelines, and semantic systems is a plus.
- Strong communication skills to discuss technical trade-offs.
- Curiosity about AI agents and a desire to push technological boundaries.
Benefits
- Comprehensive medical, dental, vision, and 401k insurance for employees and dependents.
- Automatic coverage for basic life, AD&D, and disability insurance.
- Daily lunch in the office.
- Development environment budget for tools and equipment.
- Unlimited PTO policy.
- Dedicated budget for tools and resources to solve technical challenges.
- Learning budget for conferences, courses, or programs.