AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $95k - $110k / year

⏰ Full Time

🟢 Junior

🤖 AI Engineer

🚫👨‍🎓 No degree required

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SavvyMoney

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

🏦 Banking

💳 Fintech

☁️ SaaS

🔥 Funding within the last year

💰 $225M Private Equity Round - SavvyMoney on 2025-10

Banking • Fintech • SaaS

SavvyMoney is a financial wellness and embedded fintech platform built for banks, credit unions, and fintechs. The company provides real-time credit score insights, monitoring and alerts, personalized pre-qualified offers, account opening and onboarding workflows, and analytics to drive deposit and loan growth. SavvyMoney integrates with core and digital banking systems (70+ integrations), is positioned as a B2B SaaS partner to financial institutions, and is used to increase engagement, personalization, and measurable ROI—reaching tens of millions of consumers.

📋 Description

• Design, build, and deploy AI-powered workflow tools for business teams. • Translate business pain points into agentic workflows using modern AI frameworks. • Ship production-grade tools end-to-end, from requirements and prototyping through deployment, instrumentation, and iteration. • Gather and document requirements directly with requesting business teams. • Run user acceptance testing and obtain requester sign-off before release. • Demo delivered tools to requesters and the wider engineering group. • Define and maintain reference patterns for RAG pipelines, agent loops, evaluations, observability, cost control, and data classification enforcement. • Publish pre-approved AI integration patterns and sample code. • Own developer experience for company-wide AI integration. • Own the internal LLM gateway, including model routing, logging, abuse prevention, prompt-injection mitigation, and cost attribution. • Build cost-per-outcome reporting and support portfolio-level cost decisions. • Build and operate internal evaluation infrastructure, datasets, metrics, online A/B tests, and prompt-versioning standards. • Integrate adopted AI tools with identity, data, and security systems. • Hold vendors accountable for performance, scalability, and security commitments. • Implement DLP integration, audit logging, prompt-injection mitigation, and data-classification enforcement. • Extend internal tooling to partner-operations use cases and coordinate longer-term ownership of partner-facing AI investments.

🎯 Requirements

• 1–2+ years of professional software engineering experience, including at least 1 year building production AI/ML or LLM-driven applications • Strong proficiency in Python and modern backend development • Experience with RESTful APIs, microservices, and cloud-native deployment on AWS • Hands-on experience with LLMs, prompt engineering, and RAG pipeline design; production experience required • Familiarity with vector stores, embedding models, and retrieval evaluation • Strong understanding of cost control, latency, and reliability for LLM-backed systems • Ability to work cross-functionally with non-engineering teams to scope, build, test, and operate internal tools • Bachelor's degree in Computer Science, Engineering, or related field, or compelling self-taught equivalent (preferred experience) • Must be legally authorized to work in the United States full-time without employer sponsorship now or in the future

🏖️ 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 • Beautiful California East Bay offices in Dublin, CA