p>Who You Are: • 7+ years of professional software engineering experience • Strong proficiency in Go (GoLang) and experience building production-grade, API-driven services • Proficiency in Python for experimentation, prototyping, and scripting • 3+ years of experience building and deploying AI/ML systems in production environments • Strong experience with modern LLM ecosystems (e.g., OpenAI, Anthropic, Hugging Face) • Deep understanding of LLM-based solution patterns, including Retrieval-Augmented Generation (RAG), structured outputs, schema-driven generation, and agents/orchestration workflows • Familiarity with MCP (Model Context Protocol) servers and orchestration approaches • Experience evaluating LLM performance in production contexts, including prompt design, quality measurement, and model comparison • Experience designing and operating scalable API services at scale • Strong experience with cloud infrastructure (AWS, GCP, or Azure) • Experience with vector databases and inference systems • Strong SQL skills and familiarity with modern data storage technologies. This role combines deep hands-on development with architectural leadership: setting technical patterns, guiding major initiatives from design through delivery, and ensuring our AI services are reliable, performant, and cost-aware in production.