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Remote Senior Software Engineer (Backend, Node.js) - Remote Tech Jobs


Flyreel ( is a LexisNexis Risk Solutions company that has developed the most advanced Artificial Intelligence solution for property analysis and home inspections that helps insurance carriers better manage risk and helps insurance policyholders get the right level of coverage. As users pan across the interior and exterior of their property, our AI documents their home's contents and structural details while highlighting risks, hazards and more. The role will be focused on: • Developing and improving our APIs • Developing enterprise-level API integrations • Implementing new features to support our mobile, web and backend products * Creating a scalable development workflow as we hire more developers We're looking for a JavaScript engineer with experience in: • Node.js/TypeScript • Version control with Git • REST API development • Express/Fastify/NestJS • OpenAPI/Swagger • ORM/ODM tooling such as sequelize or mongoose • Testing with Jest, Mocha, or another javascript testing framework • Google Cloud Platform or other cloud providers • Async/Event-driven architectures • NoSQL schema design Applicants should be able to: • Translate business requirements into technical specs • Bring creativity to the decision-making process • Develop scalable and maintainable code • Design and implement new endpoints • Identify, propose solutions to, and fix bugs • Work comfortably in remote-work environment #LI-ES1 We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact or if you are based in the US you may also contact us on 1.855.833.5120.

25 AI Insurance Companies You Should Know


The insurance industry has always dealt in data, but it hasn't always been able to put that data to optimal use. With the rise of artificial intelligence, which analyzes and learns from massive sets of digital information culled from public and private sources, insurers are embracing the technology's many facets -- from machine learning and natural language processing to robotic process automation and audio/video analysis -- to provide better products. Customers, too, are benefitting from practices like comparative shopping, quick claims processing, around-the-clock service and improved decision management. To get a better sense of how AI impacts the insurance industry, check out these 25 AI insurance applications. Liberty Mutual explores AI through its initiative Solaria Labs, which experiments in areas like computer vision and natural language processing. Auto Damage Estimator is one result of these efforts.

"Boring" industries benefit the most from AI - AngelList


While Elon Musk-esque theories of an impending AI apocalypse tend to dominate popular conversations around machine learning, the reality is that the machine learning revolution has already happened, cyborg-free. To see it, you just have to look at data-heavy, sometimes "boring" industries like insurance. That's where the unparalleled processing ability of machine learning can have an outsized impact. On October 16, Quantemplate--a London-based startup that uses machine learning to help insurers process data--raised a $12 million Series B. This round comes on the heels of several others at insurance-focused machine learning startups: Ethos, a data-driven life insurance issuer, raised a $60 million Series C in late August. Clearcover, a platform that uses AI to sell auto insurance, raised $43 million in January.

Planck Re scores $12M Series A to simplify insurance underwriting with artificial intelligence


Planck Re, a startup that wants to simplify insurance underwriting with artificial intelligence, announced today that it has raised a $12 million Series A. The funding was led by Arbor Ventures, with participation from Viola FinTech and Eight Roads. Co-founder and CEO Elad Tsur tells TechCrunch that the capital will be used to expand Planck Re's product line into more segments, including retail, contractors, IT and manufacturing, and grow its research and development team in Israel and North American sales team. The Tel Aviv and New York-based startup plans to focus first on its business in the United States, where it has already launched pilot programs with several insurance carriers. Tsur says that Planck Re's clients generally use it to help underwrite insurance for small to medium-sized businesses, including business owner policies, which cover property and liability risks, and workers' compensation. Founded in 2016 by Tsur, Amir Cohen and David Schapiro, Planck Re poses its technology as a more efficient and accurate alternative to the lengthy risk assessment questionnaire insurers ask clients to fill out.

Quantemplate raises over $12 million for AI insurance and reinsurance data solutions


Quantemplate, a startup providing self-service, cloud-based automated data solutions for insurers and reinsurers, today revealed that it raised over $12 million in a recent funding round led by Route 66 Ventures and Transamerica Ventures, with participation from Anthemis Group, Allianz X, and Insight Catastrophe Group. The raise brings the New York- and London-based company's total raised to over $25 million, which CEO David Lundgren said will fuel R&D and customer acquisition as Quantemplate grows its global sales and marketing teams. Coinciding with the capital infusion, Quantemplate also announced the general availability of its platform. "With this recently secured round of funding, Quantemplate is primed and ready to present our proven technology to the [insurance and reinsurance] industry. We are eager to provide the unique tools and insights customers need to make business processes more efficient, while at the same time appreciating a more comprehensive assessment of risk," said Lundgren.