Senior Full Stack AI Engineer

Responsibilities

• Lead AI projects from ideation through architecture, production, and iteration
• Design, build, and deploy end-to-end AI systems using traditional ML and LLM-based workflows
• Partner with stakeholders to define success criteria and deliver practical AI solutions
• Implement evaluation, monitoring, and observability metrics including accuracy, cost, and latency
• Build guardrails around LLM pipelines using validation and human-in-the-loop workflows
• Develop rapid proofs-of-concept and prototypes to be hardened into reliable systems
• Help grow and lead the AI team through training and development of junior members

Requirements

• 4+ years of experience building AI/ML systems in industry or academia
• Strong experience with LLM-based systems including RAG, prompting, and multi-step workflows
• Solid understanding of AI evaluation and measurement (offline m...