AI/agents engineer
Core
Designing and building agentic workflows for finance operations, automating trust-sensitive flows by decomposing workflows into reliable steps and ensuring numerical reasoning is verifiable.
Role type
Senior IC AI/agents engineer (finance operations)
Builds
Agentic workflows, trust harnesses (graders, confidence scoring), context management systems, evaluation suites, and inference pipelines for B2B finance.
Domain
B2B Finance / Agentic AI Systems
Deliverable
production ML models
Required skills
LLM system design, agent trajectory design, tool surface design, numerical reasoning verification, confidence scoring, error taxonomy design, regression testing, cost/latency optimization, multi-provider LLM routing, ERP/CRM data reconciliation, observability setup
Preferred skills
Experience shipping LLM systems in production, deep understanding of finance domain ambiguity, ability to work with unstructured data (emails, contracts)
Technologies
Python, FastAPI, Postgres, Next.js/TypeScript, OpenTelemetry, Terraform, GCP/AWS
Responsibilities
Design agent trajectories and tool surfaces for finance workflows; build trust harnesses including graders and escalation logic; reconcile ERP, CRM, and contract data into coherent agent context; develop regression suites for drift detection; optimize inference costs and latency; collaborate with finance teams to identify ambiguity and increase autonomy.
Seniority
Senior, hands-on IC
