Phase 1: Remote (Weeks 1–3) — Foundations of AI-First Engineering
- AI-first development workflows, including coding agents, MCP, and real-time collaboration
- Retrieval-Augmented Generation (RAG), embeddings, and vector databases
- Fast-paced project sprints with a focus on shipping under constraints
Phase 2: Onsite in Austin (Weeks 4–10) — Production AI at Scale
- Agent systems, evaluations, verification, and observability (LangChain/LangSmith/LangFuse/CrewAI)
- Enterprise-grade delivery practices: quality assurance, reliability, and high-standards execution
- Fine-tuning and deployment patterns (LoRA/QLoRA combined with production integration)
- Multi-agent modernization of existing real-world codebases
- Multimodal AI development (image/video/voice) and scalable infrastructure (AWS/Azure)






