Phase 1: Remote (Weeks 1–3) — Foundations in AI-First Engineering
- AI-first development workflows (coding agents, MCP, real-time collaboration)
- Retrieval-Augmented Generation (RAG), embeddings, and vector databases
- Rapid project sprints centered on shipping within 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: quality assurance, reliability, and high-standards execution
- Fine-tuning and deployment patterns (LoRA/QLoRA with production integration)
- Multi-agent modernization of real-world codebases
- Multimodal AI projects (image/video/voice) and scalable infrastructure (AWS/Azure)






