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






