Andera
Founding AI Engineer
San Francisco · On-site · Full-time · Posted Aug 3, 2026
About the job
Build core AI agent systems that automate complex financial audits, from architecture through deployment.
What you'll do
- Design agent systems for planning, memory, tool use, and recovery.
- Build fault-tolerant features and efficiently process workloads of approximately 100GB or more across processes and threads.
- Debug production agent failures, edge cases, and performance bottlenecks; improve agents based on audit workflows.
What they ask for
- Experience building complex agent or workflow-based systems, including understanding planning, tool use, memory, and failure modes.
- Strong fullstack engineering ability to deliver fault-tolerant end-to-end features.
- Strong systems engineering fundamentals for concurrent workloads over large datasets, including throughput, backpressure, retries, and observability.
- Ability to learn non-engineering domains quickly and turn expert input into working systems.
Nice to have
- Experience with or adjacent to TypeScript, Python, Temporal, Docker, Terraform, or AWS Fargate.
Tools
TypeScript, Python, Temporal, Docker, Terraform, AWS Fargate
AI focus
Build reliable, long-horizon AI agents that parse, interpret, and reason over complex financial data to automate audits.
Model-written summary · the original posting is authoritative