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






