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
- Fast-paced project sprints emphasizing delivery under constraints
Phase 2: Onsite in Austin (Weeks 4–10) — Scalable Production AI
- Agent systems, evaluations, verification, and observability (LangChain/LangSmith/LangFuse/CrewAI)
- Enterprise-grade execution: QA, reliability engineering, and high-standards delivery
- Fine-tuning and deployment workflows (LoRA/QLoRA and production integration)
- Multi-agent modernization applied to real-world codebases
- Multimodal AI development (image/video/voice) and scalable cloud infrastructure (AWS/Azure)





