Senior Software Engineer (Financial AI Product)

Quick Facts

• Role: Senior Software Engineer (Financial AI Product)

Description

Build AI-powered product capabilities for complex, high-stakes financial workflows including onboarding, data ingestion, reconciliation, validation, exception handling, and operational review. Design systems that combine model-driven reasoning with deterministic financial execution, with traceability back to source evidence and controls that prevent downstream execution when validation fails. Develop evaluation and testing harnesses, observability, and feedback loops to measure AI quality in workflows where “almost always right” is not acceptable.

Responsibilities

• Build AI-powered capabilities across financial workflow stages (ingestion, reconciliation, validation, exceptions, operational review)

• Design model-reasoning + deterministic execution systems

• Trace financial values back to source evidence, surface unresolved gaps, and block execution when validation fails

• Create ingestion and normalization for messy exports, historical records, and inconsistent provider formats

• Build evals, testing harnesses, observability, and feedback loops for AI quality

• Partner with product, design, operations, compliance, and platform teams to deliver reliable AI product capabilities

• Prototype quickly in ambiguous areas and scale successful solutions into reusable primitives

• Raise the engineering bar for correctness, auditability, security, reliability, and production safety in AI-enabled products

Requirements

• Strong software engineering fundamentals with experience building production systems at meaningful scale

• Experience designing backend systems, data models, APIs, workflows, or platform infrastructure for complex business domains

• Strong judgment around reliability, correctness, edge cases, and operational risk

• Interest in applied AI including LLMs, agents, evals, retrieval, structured extraction, or AI-assisted workflows

• Ability to determine where AI should be used vs where deterministic systems must take over, with guardrails

• Product sense and comfort operating in ambiguous problem spaces

• Ability to partner with product managers, domain experts, operations teams, and engineers to transform messy workflows into scalable software

• High-ownership mindset from architecture and implementation through rollout, measurement, and iteration

Benefits

• Competitive salary + benefits + equity

• US pay range: $135,000–$225,000 per year (San Francisco Bay Area)