Principal Software Engineer, EvolutionIQ

AI + ML SaaS / Insurtech

$270-300k

+ Equity

Python
Expert level
New York

More information about location

EvolutionIQ

AI for insurance carriers

Open for applications

EvolutionIQ

AI for insurance carriers

101-200 employees

B2BArtificial IntelligenceInsuranceAnalyticsMachine LearningSaaS

Open for applications

$270-300k

+ Equity

Python
Expert level
New York

More information about location

101-200 employees

B2BArtificial IntelligenceInsuranceAnalyticsMachine LearningSaaS

Company mission

To transform the insurance industry through a partnership between AI and human experts, ultimately making it more fair and affordable for everyone.

Role

Who you are

  • 10-15+ years in software development, with at least five years in a leadership or principal role. Proven track record of architecting and delivering large-scale, critical systems into production
  • Extensive expertise in scalable cloud architecture, relational database design, and building multi-tenant backend systems
  • Deep understanding of processing unstructured data and working with large-scale datasets and LLMs
  • Expert in Python and other relevant technologies
  • Skilled in technical documentation, code reviews, and applying state-of-the-art engineering practices
  • Deep understanding of insurance-related data challenges preferred, able to present technical solutions with clear business impact
  • Strong collaborator with exceptional communication skills, capable of engaging technical and non-technical audiences
  • An inspirational technical leader with a track record of success in high-stakes projects

What the job involves

  • As a Principal Software Engineer at EvolutionIQ, you will architect and deliver version 2 of our AI claims management platform
  • Your mission is to design and implement the next iterations of three foundational systems 1 Data Ingestion/Pipeline, 2 API Platform, 3
  • User facing application, that will handle tens of millions of documents daily, including unstructured data streams like OCR and phone call transcriptions
  • You'll leverage our proprietary EvolutionGPT platform and large language models (LLMs) to transform raw data into actionable insights, enabling rapid, code-free deployment of new products in two-week cycles
  • You will work closely with leadership to provide strategic technical software development direction for our business lines in Disability & Workers Compensation
  • You will be responsible for defining technical requirements, working on interesting technical challenges, playing an impactful role in transforming our 100+ person engineering organization and inspiring them as we scale
  • With a strong focus on First Principles thinking you will leverage large unstructured data sets, proprietary large language models (LLMs), including our EvolutionGPT platform and other cutting edge technologies to continue to innovate the EvolutionIQ claims guidance platform
  • Technical Leadership: Provide strategic technical guidance across the engineering organization, leading the development and implementation of complex software solutions
  • This platform processes tens of millions of medical documents, structured and unstructured data streams and multiple data types to transform data science and claims guidance
  • Architecture Design: Architect scalable, secure, and high-performance systems that integrate cutting-edge AI and ML capabilities, focusing on unstructured data and LLMs
  • Hands-On Engineering: Act as a top contributor, rapidly turning ideas into thoughtful designs with multiple options, pros, and cons, and swiftly implementing frameworks
  • Mentorship: Mentor junior engineers, fostering their growth and aligning the team with the technical vision
  • Collaboration: Partner directly with leadership, including the CTO and VPs, to align on technical strategy and deliver impactful solutions
  • Reliability and Delivery: Ensure reliable and successful deliveries to enterprise clients, learning from past experiences to improve future launches
  • Innovation: Drive first-principles thinking to solve 0-to-1 problems, working with data sets that have never been used for data science in our industry
  • By the end of 2025, you will have brought v2 of our platform to production, meeting all business goals with modular, configuration-based products that facilitate rapid, code-free deployment
  • Enabled rapid product deployment, allowing us to launch new products in two-week cycles through modular and configuration-based designs
  • Transformed unstructured data into valuable insights, enhancing our data processing capabilities and optimizing the platform’s signal-to-noise ratio
  • Mentored and inspired our 100+ person engineering team, fostering a culture of technical excellence, innovation, and continuous improvement
  • Collaborated closely with cross-functional teams, including Data Science, Machine Learning, Product Management, and UX Design, to deliver seamless, user-centric applications
  • Improved productivity and effectiveness of our software development teams, leading to measurable enhancements in our product development lifecycle
  • Prepared the platform for future growth, accommodating our projected 3X and 2X annual growth rates and expanding data volumes

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Insights

Top investors

111% employee growth in 12 months

Company

Company benefits

  • Premium Medical Insurance Plan – Empire Blue Cross Blue Shield Medical insurance
  • 401K with employer matching
  • Dental Coverage – Principal Financial
  • Life insurance / ACDC coverage – Reliance Standard
  • Vision – Reliance Standard
  • Short Term and Long Term Disability – Unum
  • Employee stock option plan
  • $500 to get you started setting up your home office and $200 every year for upgrades after that

Funding (last 2 of 5 rounds)

Aug 2024

$20.2m

LATE VC

Jun 2023

$10.3m

LATE VC

Total funding: $60.4m

Our take

EvolutionIQ is a data-driven claim guidance platform for insurance providers. Its products combine structured and unstructured claim data with external third party data to provide powerful claim guidance, in an attempt to modernize the claims operations process.

The company's offering is certainly an attractive one for businesses handling large volumes of these claims - the solutions aim to help insurance providers detect and prevent fraud without impacting their productivity and customer experience. Historically, the insurance industry has had access to vast amounts of data without optimizing how they use it. EvolutionIQ's machine learning algorithms harness the learnings from every data point, allowing for much more well-informed, actionable insights.

Competition is steep among AI insurance firms, and EvolutionIQ counts rivals such as CCC Intelligent Solutions and Riskcovry in this space. However, the market size is huge and ripe for disruption. With a valuation of more than $200 million following a successful VC funding round, EvolutionIQ is focused on the further development of its product and international expansion as it hopes to capture a larger slice of this $10 billion market.

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Freddie

Company Specialist at Welcome to the Jungle