Applied AI Engineer

Posted 2 Days Ago
Palo Alto, CA, USA
In-Office
160K-200K Annually
Mid level
Big Data • Software • Analytics
The Role
Rapidly prototype and develop AI-driven applications across backend, frontend, data, and cloud. Collaborate with stakeholders and clients, perform QA and TDD, evolve prototypes to production, and use agentic and multi-agent AI workflows responsibly in regulated fintech environments.
Summary Generated by Built In

Who You Are

You are an engineer who codes with AI as a first-class tool, not an add-on. You pair traditional technical training with a forward-leaning approach to agentic coding, rapid prototyping, and multi-agent workflows. You move fast, iterate with stakeholders, and care about shipping things that work.

You're comfortable building prototype applications across the stack — backend, frontend, data, cloud — and you'd rather be handed an ambiguous problem and trusted to figure it out than wait for instructions. You can communicate directly with clients and cross-functional teams, and you bring a startup mindset: self-driven, curious, constructive, and motivated by mission over process. You understand that working in regulated environments means building responsibly, with a compliance mindset baked into how you code and ship.

You have new ideas you're willing to test, fail, and iterate on — ultimately demonstrating impact that expands existing value or opens entirely new markets.

Who We Are

Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences. 

Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s SaaS solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously. 

To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance.

What a Great Candidate Looks Like

  • US Citizen 
  • 4+ years of professional experience, including graduate or Ph.D. work if relevant
  • Technical education; post-graduate education preferred
  • Forward-leaning in AI coding with traditional technical training as a foundation
  • Hands-on with AI coding tools and agentic workflows (Claude Code, GPT/Codex, Cursor, Windsurf), including multi-agent approaches for testing and validation
  • Core stack: Python, JavaScript/React, PostgreSQL. Helpful: Spark/PySpark, Scala, R, and other large-scale data tooling
  • Ability to communicate directly with clients and cross-functional teams, and to rapidly iterate and co-develop with stakeholders
  • Self-driven, mission-driven, curious, and constructive; startup mindset with strong communication skills
  • Ability to provide references and meet in person
  • Sharable evidence of proven work — portfolios, websites, projects, or competitions (preferred)

The Opportunity We Offer

As an Applied AI Engineer on Quantifind's AI Systems team, you'll be responsible for rapid prototyping and development of independent AI-driven workflows and capabilities. The team's projects prove out and de-risk concepts with external stakeholders and internal resources, while expanding markets for Quantifind as a whole.

Application Development:

  • Rapidly prototype and iterate on applications with internal and external stakeholders.
  • Build apps from scratch within given frameworks and resources.
  • Collect and validate product requirements, wearing a product hat as the role demands.
  • Perform quality assurance and test-driven development.
  • Bring evidence-based design sense, taste, and intuition, working effectively alongside product designers.
  • Manage the evolution of prototypes into production.
  • Innovate ways to increase team velocity using AI as both an accelerant and a control layer.

Quantifind's development team is centered in Palo Alto, California, with technology hubs in Atlanta, Georgia, and Washington, D.C. We currently use a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space. Remote candidates will be considered; if in person, minimum 3 days per week in office.

A highlight of our benefits:

  • Competitive salary
  • Company Equity
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan
  • A fun environment where work-life balance is valued

The base salary range for this full-time position is $160k to $200k. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together.

Will you join us? Apply now!

Skills Required

  • US Citizen
  • 4+ years of professional experience
  • Technical education (degree)
  • Hands-on with AI coding tools and agentic workflows (Claude Code, GPT/Codex, Cursor, Windsurf) and multi-agent approaches
  • Core stack experience: Python, JavaScript/React, PostgreSQL
  • Experience building prototypes across backend, frontend, data, and cloud
  • Ability to communicate directly with clients and cross-functional teams
  • Ability to provide references and meet in person
  • Post-graduate education
  • Experience with Spark/PySpark, Scala, R, and large-scale data tooling
  • Sharable portfolio, projects, or evidence of proven work
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The Company
HQ: Palo Alto, CA
58 Employees
Year Founded: 2009

What We Do

Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat election tampering. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences. Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.

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