Phase 1: Remote (Weeks 1–3) — Foundations in AI-First Engineering
- AI-first development methodologies (coding agents, MCP, 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) — Scaling Production AI Systems
- Agent architectures, evals, verification, and observability (LangChain/LangSmith/LangFuse/CrewAI)
- Enterprise-level delivery: QA, reliability, and execution to high standards
- Fine-tuning + deployment strategies (LoRA/QLoRA + production integration)
- Multi-agent modernization applied to real-world codebases
- Multimodal AI development (image/video/voice) and scalable infrastructure (AWS/Azure)






