About the job
Who We Are Looking For
Navigating the complexities of enterprise data environments, you are not just an observer but a hands-on problem solver. You understand the nuances of unstructured data and have experience working with systems that are less than pristine. You have encountered the limits of machine learning models and have successfully innovated solutions around these challenges.
Not seeking ideal conditions or a clean slate, you thrive on tackling difficult problems that require immediate solutions, especially in environments that need real-time assistance.
About Flipside Crypto
At Flipside Crypto, we specialize in developing AI-driven solutions that transform chaotic institutional data into streamlined decision-making processes, efficient workflows, and tangible outcomes. With an extensive background in blockchain data infrastructure and a proven track record of resolving over 700 million wallets across more than 20 chains, we empower enterprises to harness their data effectively without the need for extensive analyst teams.
We are currently engaged with major clients, including a notable financial institution and Interlochen, as we continue to refine our architecture and expand our reach to firms needing our innovative solutions. Our technology is reliable, and we are focused on establishing a robust enterprise presence.
Your Responsibilities
As a Forward-Deployed AI Data Engineer, you will immerse yourself in client environments, ensuring our AI solutions operate efficiently with data that has not been prepped for such applications. You will develop tailored solutions, utilizing whatever data is available, be it from CRMs, data warehouses, email archives, or document repositories.
Your contributions will be measurable, culminating in outcomes such as CRM leads generated, operational pipelines, and strategic briefings for key stakeholders. You will collaborate closely with the Chief Technology Officer and the Enterprise Data Strategist to deliver impactful results for each client engagement.
Key Duties Include:
Spearheading the technical onboarding process and overseeing the implementation from data discovery to deployment.
Constructing, configuring, and troubleshooting data connectors, pipelines, and AI workflows within client settings.
Engaging directly with our proprietary frameworks: Forge, Lattice, and Stratum, contributing to orchestration and semantic intelligence.
