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Founder & CEO, BlueArc.ai - building a better way to onboard and risk manage business customers
Come work for a cutting-edge AI company that solves big real-world problems
Company:
BlueArc is a VC-backed start-up building AI systems that deeply research fraud, policy abuse, and anti-money laundering (AML) risks of businesses. We provide automated and high-quality risk decisioning for tech and financial services companies who have risky business customers.
2-5% of the global economy is involved in money-laundering and losses from scams are estimated at $1 trillion annually. Meanwhile $200B is spent on financial crimes compliance (FCC). Legacy Know Your Business (KYB) and Enhanced Due Diligence (EDD) systems are limited and highly manual. BlueArc's AI and Graph are disruptive technologies for this huge market.
Who we are:
We're a small, highly technical team with 20 years of experience building highly-scalable risk systems. We're passionate about working together to tackle hard problems and build ambitious, first-of-their-kind solutions.
Job Responsibilities:
- Design and build client-facing APIs
- Expand Back End for investigation tooling to bring full power of our AI graph to client investigators
- Scale our distributed architecture while enhancing our automated workflow engine and entity graph abstractions
- Build systems and processes to optimize development velocity
- Provide technical guidance and leadership to other team members
Qualifications:
- Excellent systems thinker
- 4-8+ years experience designing, building, and managing scalable distributed systems
- 1-2+ years experience designing, building and maintaining client-facing APIs
- Solid security and DevOps expertise
- Highly productive programmer with advanced proficiency with Python and PostgreSQL
- Continuous learner looking for new challenges in a start-up environment
- Cultural asset whose unique perspective improves the team and workplace in many ways
- BS degree in computer science, math, engineering, or equivalent experience
- Located in SF Bay Area
Nice-to-Have:
- AI, ML, or MLOps experience
- Fraud detection or risk management experience
Take-home preparation:
- Prior to interviews, we will provide challenge questions specific to our role and ask you to provide brief written responses. We will then discuss more deeply during interviews.
Work environment:
- Primarily in-person, highly collaborative work environment
- Office in downtown Redwood City, California (2 blocks from Caltrain). 2nd round interviews will be conducted in person at our office
Work Authorization:
- We are not offering new H-1B visa sponsorship for this role
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Internet
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