AI Engineer (Dublin, CA or USA Remote)

SavvyMoney•Dublin, CA

1d•$95,000 - $110,000•Remote

About The Position

SavvyMoney is a leading San Francisco East Bay fintech company providing integrated credit score and personal finance solutions to over 1,600 bank and credit union partners. Recognized as a Top 25 Place to Work and an Inc. 5000 Fastest Growing Company, SavvyMoney is seeking an AI Engineer to join its newly chartered AI Engineering Team. This role is focused on internal tool development, writing code, and shipping internal AI tools that build the foundation for other engineers to integrate AI into their workflows. The AI Engineer will work closely with the AI Engineering Lead on adoption, the Data & Analytics organization on shared infrastructure, and InfoSec and Legal on governance. Key responsibilities include establishing patterns for RAG, agents, evals, observability, and cost control that the company will adopt by default. This is an internal-build role, not customer-facing.

Requirements

1-2+ years of professional software engineering experience, with at least 1 year building production AI/ML or LLM-driven applications.
Strong proficiency in Python and modern backend development (RESTful APIs, microservices, cloud-native deployment on AWS).
Hands-on experience with LLMs, prompt engineering, and RAG pipeline design — you have shipped, not just prototyped.
Familiarity with vector stores, embedding models, and retrieval evaluation.
Strong instincts on cost control, latency, and reliability for LLM-backed systems.
Comfortable working cross-functionally with non-engineering teams to scope, build, test, and operate internal tools.
Candidates must be legally authorized to work in the United States on a full-time basis without the need for employer sponsorship now or in the future.

Nice To Haves

Fintech, lending, or financial services background.
Prior experience in DevOps, platform engineering, or InfoSec — the integration-and-automation muscle translates directly to LLM-powered internal tools.
Experience working with regulated data (PII, financial data) and the controls that go with it.
Hands-on experience with AWS Bedrock, Anthropic, OpenAI, and one or more enterprise AI gateways.
Bachelor's degree in Computer Science, Engineering, or a related field, or compelling self-taught equivalent.

Responsibilities

Design, build, and deploy AI-powered workflow tools for business teams (customer success, finance, legal, operations, sales, people, recruiting).
Translate business pain points into agentic workflows using modern frameworks (LangChain, LangGraph, CrewAI, or equivalent).
Ship production-grade tools end-to-end: requirements, prototype, deploy, instrument, iterate.
Sit with the business team that requested a tool, gather the requirements yourself, and write them down before you build.
Run UAT with the requester to confirm the tool does the job before it ships.
Demo what you built to the team that asked for it, and to the wider engineering group when the pattern is reusable.
Define and maintain the reference patterns that engineers across SavvyMoney use when integrating AI: RAG pipelines, agent loops, evals, observability, cost control, and data classification enforcement.
Publish pre-approved patterns and sample code so engineers don't need a fresh Legal or Security review every time.
Own developer experience for AI integration across the company.
Own the internal LLM gateway: model routing, logging, abuse prevention, prompt-injection mitigation, and cost attribution.
Build cost-per-outcome reporting (FinOps for AI) and partner with the AI Engineering Lead on portfolio-level cost decisions.
Build and operate the internal eval infrastructure so any internal AI use case can be tested before it ships.
Establish offline evaluation datasets and metrics (task success, factuality and groundedness, toxicity, latency, cost-per-task) and run online A/B tests.
Pick eval tooling (Weights & Biases, TruLens, Promptfoo, MLflow, or equivalent) and standardize prompt versioning.
Own the technical integration with our identity, data, and security stack when SavvyMoney adopts a new AI tool (Copilot, Cursor, Claude, Glean, Bedrock, or emerging vendors).
Hold vendors accountable for performance, scalability, and security commitments.
Implement DLP integration, audit logging, prompt-injection mitigation, and data-classification enforcement across the AI surface.
Partner with InfoSec and Legal to make the safe path the easy path.
Extend internal tooling to partner ops use cases where ROI clearly exceeds the cost of a custom build.
Coordinate with the AI Engineering Lead on which partner-facing AI investments graduate from the AI Engineering Team's portfolio into longer-term ownership.

Benefits

Equity Compensation Package
Flexible Time Off (FTO) - take time off as needed to rest and recharge.
Medical, Dental, Vision – 100% premium paid for employee
Disability/Life Insurance
Opportunity for learning and career growth with a top Bay Area technology company
Reimbursement for remote work setup
Monthly stipend for phone and internet
Team building events, culture activities, all hands events
Paid time off to volunteer and serve the community
Half day Fridays
401k matching contribution