· 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.
