← Search all jobs

Senior AI Engineer (Fintech, Agentic Products)

ScrumAID

San Francisco, CA · Posted November 1, 2026

Just laid off? Start here: a plan for the first weeks

More in California job market · All Senior AI Engineer jobs (96) · Financial Services & Banking · Data & Analytics jobs

Similar jobs

Where San Francisco, CA ranks

Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.

How AI is used in this kind of work

Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

An early-stage fintech company is putting together a compact engineering group to create business workflow software with built-in financial products, along with an AI assistant that guides everyday consumers in handling their finances. It needs senior engineers who can take AI agents from idea to production and help define how the team builds software.

What you’ll own

Create agent-driven experiences for both business customers and individual consumers

Be responsible for one or several agents from start to finish, covering the user experience, evaluation and rollout

Partner with colleagues across product, engineering and design to release high-impact features with proper safeguards

Help set engineering culture around quality, collaboration and customer focus

Shape the working principles for building software with AI assistance, using a strictly typed modern full-stack setup and internal tooling to speed up delivery without lowering standards for quality, security or maintainability

About you

Four to eight years as a full-stack or AI engineer in venture-backed startups

Production experience designing and shipping agents or tool-using LLM systems, including monitoring and guardrails

Experience building retrieval pipelines (RAG)

Background in complex, high-performance web applications across frameworks

Familiarity with payments concepts such as payouts, ledgers and cross-border transactions

Current knowledge of agent libraries and best practices, with TypeScript and Python strength

Steady tenure in recent roles

On-site in the San Francisco Bay Area. Visa transfers considered.