Build AI Agent Systems
Design and build production-grade AI agent systems, including multi-agent workflows and orchestration layers.
Design Retrieval & Memory
Develop retrieval, context, and memory systems to ground AI outputs for reliable workflows.
Develop Backend Services
Build distributed backend services, event-driven workers, and job pipelines to deliver AI outputs reliably.
Create Product Experiences
Build intuitive, product-quality user experiences using React and TypeScript for complex AI capabilities.
Establish AI QA
Create patterns for AI quality assurance, including automated evaluations, regression testing, and compliance guardrails.
Own Deployment & Operations
Manage the full lifecycle of AI systems through CI/CD, cloud infrastructure, monitoring, and production support.
Evaluate Technologies
Assess models, frameworks, and architectural approaches based on accuracy, latency, cost, and security.
Mentor & Collaborate
Partner with cross-functional teams and mentor engineers to raise engineering standards.
Required Experience
5+ years in software engineering with hands-on experience building AI-enabled applications (LLMs, RAG, agents).
Required Experience
Strong Python expertise (async, type-safe) and strong React/TypeScript expertise.