Phase 1: Remote (Weeks 1–3) — Foundations in AI-First Engineering
- AI-first development workflows (coding agents, MCP, real-time collaboration tools)
- Retrieval-Augmented Generation (RAG), embeddings, and vector database usage
- Rapid project delivery sprints focused on shipping under constraint
Phase 2: Onsite in Austin (Weeks 4–10) — Production AI Systems at Scale
- Agent architectures, evaluations, verification, and observability (LangChain/LangSmith/LangFuse/CrewAI)
- Enterprise-level delivery standards: QA, reliability, and high-caliber execution
- Fine-tuning and deployment patterns (LoRA/QLoRA + production integration)
- Multi-agent modernization of existing real-world codebases
- Multimodal AI development (image/video/voice) and scalable infrastructure (AWS/Azure)





