- Lead, coach, and develop the engineers responsible for Sequencing’s AI platform, creating clear ownership, tight feedback loops, and a high bar for technical quality.
- Translate approved product intent into sequenced engineering plans with clear owners, dependencies, risks, test criteria, and completion gates.
- Guide delivery across retrieval, memory, integrations, prompts and skills, agent orchestration, evaluation, observability, and supporting data systems.
- Partner with engineers and architecture owners on system design, technical tradeoffs, and boundaries between deterministic and probabilistic components.
- Build a rapid prototype-to-production loop that allows the team to learn quickly without compromising scientific accuracy, privacy, reliability, or maintainability.
- Establish evaluation as a release gate using deterministic validation, golden sets, LLM-as-judge methods, human annotation, scientific review, and clearly defined failure behavior.
- Improve prompt and configuration management, trace quality, latency, cost visibility, failure classification, and production observability.
- Create guardrails that enable engineers to move with autonomy, use AI-native development tools effectively, and take end-to-end ownership of their work.
RESTful APIsPrompt EngineeringLLM+2 more