about 4 hours ago
Responsibilities
- Design, build, and ship reliable, performant systems at scale.
- Implement rigorous software engineering practices for system reliability.
- Develop agentic AI systems that autonomously generate and optimize code.
- Architect multi-agent workflows to enhance development efficiency.
- Create AI-powered automation for performance-safe outputs in embedded systems.
- Build evaluation frameworks to measure agent performance in production.
- Collaborate with cross-functional teams to identify AI automation opportunities.
- Stay updated on agentic AI research and integrate advancements into the platform.
- Mentor engineers on AI-first development practices.
Requirements
- Proven experience in building agentic AI systems for scalable applications.
- Strong foundation in software engineering with a track record of reliability.
- Familiarity with modern LLM orchestration tools and AI/ML frameworks.
- Experience with retrieval-augmented generation and evaluation-driven development.
- Proficiency in TypeScript and Python for agent development and automation.
- Instinct for reliability and clean architecture in non-deterministic AI systems.
- Excellent technical communication and root cause analysis skills.
Benefits
- Global access to mental health and financial wellness support.
- Comprehensive healthcare options including medical, dental, and vision.
- Support for time off in accordance with local leave policies.
- Retirement options including 401(k) and pension plans.