Phase 1: Remote (Weeks 1–3) — AI-First Engineering Foundations
- AI-first development workflows including coding agents, MCP, and real-time collaboration
- Retrieval-Augmented Generation (RAG), vector databases, and embeddings
- Fast-paced project sprints centered on shipping under constraints
Phase 2: Onsite in Austin (Weeks 4–10) — Production AI at Scale
- Agent systems, evaluations, 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 real-world codebases
- Multimodal AI builds covering image/video/voice and scalable infrastructure on AWS/Azure






