Principal Software Engineer; AI + ML SaaS​/Insurtech

New York, NY

About Us:Evolution

IQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space.

Our team is our #1 priority, and we have been named one ofInc.’s Best Workplaces 3 years in a row!

Your Impact & Mission: As a Principal Software Engineer at Evolution

IQ, 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 Evolution

GPT 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 Evolution

GPT platform and other cutting edge technologies to continue to innovate the Evolution

IQ claims guidance platform. 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.

What You’ll Achieve (Performance Outcomes):

• Technical Leadership:
  Provide strategic technical guidance across the engineering organization, leading the development and implementation of complex software solutions.
• 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.

End-of-Year Success:

• 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…