Drimva

Andera

Lead AI Engineer

San Francisco · On-site · Full-time · Posted Aug 13, 2026

About the job

Leads the architecture, development, and deployment of reliable AI agent systems that automate complex financial audit workflows.

What you'll do

  • Own agent-system architecture and roadmap, including planning, memory, tool use, and recovery.
  • Set standards for production evaluation, testing, and observability, and design efficient workloads processing approximately 100GB or more.
  • Lead design reviews, mentor engineers, make model and build-versus-buy decisions, and work with audit experts to ship agent capabilities.

What they ask for

  • Deep experience building complex agent or workflow-based systems, including understanding planning, tool use, memory, and failure modes.
  • Track record of technical leadership, owning system architecture and developing engineers while continuing to write code.
  • Strong full-stack and systems fundamentals, including fault-tolerant development and concurrent large-data workloads.
  • Ability to learn non-engineering domains 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 dependable AI agents for autonomous financial audits, including long-horizon reasoning, large-scale data ingestion, evaluation, and production reliability.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)