10 days ago
Remote, Worldwide or Boston, MA, USAStaff+
Responsibilities
- Design and build the architecture for AI agent workflows.
- Evaluate, integrate, and fine-tune foundation models and LLM APIs.
- Define standards for agent reliability, observability, and failure modes.
- Collaborate with Forward-Deployed Engineers to create reusable platform components.
- Build internal tooling to assess agent quality and task completion.
- Make principled architectural decisions and stay current with the ecosystem.
Requirements
- 6–10 years of experience building production AI or data systems.
- Deep hands-on experience with multi-agent architectures.
- Strong Python skills and familiarity with agent frameworks.
- Practical experience with RAG architectures and vector databases.
- Experience deploying LLM-powered systems in enterprise contexts.
Benefits
- Competitive base salary and meaningful early-stage equity.