---
title: 'Senior AI / ML Engineer (LLMs) at EvolutionIQ'
canonical: 'https://feeny.ai/job/senior-ai-ml-engineer-llms-evolutioniq-new-york-pn3e54av488r'
type: 'job'
last_seen: '2026-09-10'
---

# Senior AI / ML Engineer (LLMs) at EvolutionIQ

- **Company:** EvolutionIQ
- **Location:** New York, NY
- **Work type:** remote
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/evolutioniq/jobs/6161432004

## Job description

About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. 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 of[Inc.’s Best Workplaces](https://www.evolutioniq.com/resources/evolutioniqs-award-winning-culture-three-years-running-as-an-inc-best-workplace) 3 years in a row and Built In’s Best Places to work in 2025 and 2026!

About You: As an ambitious AI / ML Engineer, you will play a key role in advancing our industry-leading medical synthesis product. You take strong ownership of your work and have a proven track record of leading projects end-to-end, from ideation and requirements gathering through architecture, implementation, deployment, and iteration. You are comfortable operating with a high degree of autonomy, making thoughtful architectural and technical decisions, and helping guide the direction of AI/ML solutions across the product. Thriving in a fast-paced startup environment, you stay current with the latest AI and machine learning research. You’re passionate about applying hybrid approaches that combine large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embeddings-based models to deliver better, more reliable outcomes for our users.

In this Role You Will:

- Lead AI/ML projects end-to-end, taking ownership from initial ideation and requirements gathering through architecture, development, deployment, and ongoing optimization
- Make high-level architectural and technical decisions for AI/ML systems, balancing scalability, performance, reliability, maintainability, and business impact
- Design, build, and deploy AI-powered and LLM-driven features for our claim synthesis product, including robust extraction of key information from complex medical documents and human-in-the-loop summarization workflows
- Develop and implement hybrid machine learning solutions that leverage statistical models, LLMs, and embeddings-based retrieval techniques such as RAG to improve system accuracy, scalability, and robustness
- Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production
- Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance
- Partner closely with Product, Engineering, and other cross-functional teams to gather requirements, define technical approaches, prioritize work, and rapidly iterate on feedback
- Provide technical leadership and guidance to other engineers, helping establish best practices and driving consistency across AI/ML solutions
- Break down complex, ambiguous problems into well-defined technical solutions and drive projects forward while balancing short-term delivery with long-term architectural considerations
- Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments

Skills Requirements:

- 5-8+ years of experience writing performant Python code following modern best practices
- Minimum 1 year of experience building and deploying products powered by large language models (LLMs) in fast-paced, professional environments
- Proven experience leading technical projects and driving them from concept through production deployment
- Experience making architectural decisions for AI/ML systems and evaluating technical tradeoffs across scalability, reliability, performance, and maintainability
- Hands-on experience with statistical machine learning techniques as well as hybrid approaches combining LLMs, retrieval-augmented generation (RAG), and embeddings-based models, including vector search and similarity measures
- Proven ability to build and integrate API services within service-oriented or microservice architectures
- Strong skills in evaluating and interpreting LLM outputs and AI model predictions, with a focus on aligning model behavior with real-world business and user outcomes
- Expertise in prompt engineering and fine-tuning of large language models for domain-specific applications
- Strong communication and collaboration skills, with the ability to influence technical direction and work effectively with Product, Engineering, SMEs, and other stakeholders

Bonus Points:

- Experience translating state-of-the-art AI/ML research into production code
- Comfortable collaborating with data labelers and subject matter experts to improve training data and evaluation processes
- Experience building agentic or autonomous AI systems in production
- Background working with multimodal data (e.g., images, audio)
- Experience mentoring engineers or providing technical leadership across projects or teams

Work-life, Culture & Perks:

- Compensation: The base salary range is $200-235K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
- Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
- Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
- Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
- Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
- Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.

EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

## About EvolutionIQ

## Company Overview
- **One-liner**: EvolutionIQ provides an AI-powered claims guidance platform that helps insurance claims professionals make faster, more accurate decisions for disability and workers’ compensation claims.
- **Entity Type**: Private (acquired by public company CCC Intelligent Solutions, NASDAQ: CCCS, for $730 million in 2025)
- **Headquarters**: New York, New York, USA
- **Founded**: 2019
- **Founders**: Karan Uppal (CEO) and Tomas Vykruta (President)

## Core Business
- **Industries**: Insurance technology (disability and workers’ compensation claims), AI-driven SaaS
- **Target Customers**: B2B – large enterprise insurance carriers (disability, workers’ comp, auto casualty)
- **Mission**: Deliver state-of-the-art AI that helps insurance claims teams make claims handling more accurate, fair, and efficient, enabling injured or ill individuals to continue their lives with dignity and stability.

## Products & Services
- **Claim Guidance Platform**: An explainable AI system that guides claims professionals with next best action recommendations, improving decision quality and claim outcomes for disability and workers’ compensation lines.
- **Medical Summarization Platform**: Generative AI that summarizes medical documentation to accelerate decisions and drive next best actions across life, accident, and casualty lines.

## Market Standing
- **Valuation / Market Cap**: Acquired for $730 million (60% cash, 40% CCCS stock) – deal closed Q1 2025. Parent company CCCS has a market cap of approximately $7 billion.
- **Key Metric**: Acquisition price of $730 million; serves 7 of the top 15 U.S. disability carriers.
- **Notable Investors/Partners**: CCC Intelligent Solutions (parent company); customers include major U.S. disability and workers’ compensation carriers.
- **Growth Signals**: 100% successful deployment rate; average program ROI of 8-10x; team grown to nearly 200 employees across the U.S., Europe, and Australia.

## Competitive Advantages
- **Pioneer in Claims Guidance**: First to market with AI-powered next best action recommendations specifically for disability and injury claims.
- **Explainable AI**: Models are designed to be interpretable by claims professionals, building trust and regulatory compliance.
- **Proven ROI**: Measurable improvements in claim outcomes and cost savings, with high adoption among top carriers.
- **Post-Acquisition Stability**: Backed by CCC’s established platform and financial resources while retaining startup agility.

## Strategic Focus
- Scale the claims guidance platform across CCC’s installed base of 35,000+ companies.
- Expand into auto casualty and property & casualty lines.
- Continue independent AI innovation in disability and workers’ comp while leveraging CCC’s distribution and operational infrastructure.

## Why Work Here
- **Culture**: Recognized as an Inc. Best Workplace (2022–2024) and Built In Best Places to Work (2025–2026). Transparent, collaborative, and fast-moving startup culture within a larger public company.
- **Work Model**: Hybrid schedule with a Soho, NYC office. Flexible PTO, pet-friendly office, free lunches, and annual retreats (e.g., Puerto Rico, Catskills).
- **Benefits**: 100% paid parental leave (16 weeks primary, 12 weeks secondary), comprehensive medical/dental/vision, 401k matching, $1,000/year professional development budget, tuition reimbursement, and RSU equity.
- **Engineering & Product**: Opportunity to work on cutting-edge AI that directly impacts millions of lives. High ownership, rapid iteration, and a bias toward over-communication.

## Sources
1. [evolutioniq.com](https://www.evolutioniq.com/about) – Company overview, mission, team, culture, benefits.
2. [linkedin.com](https://www.linkedin.com/company/evolution-iq) – Employee count, description, open roles.
3. [cccis.com](https://www.cccis.com/news-and-insights/posts/ccc-intelligent-solutions-announces-the-acquisition-of-evolutioniq-the-leading-ai-guidance-platform-for-disability-and-injury-claims-management) – Acquisition details and market reach.
4. [greenhouse.io](https://job-boards.greenhouse.io/evolutioniq/jobs/5973506004) – Salary range, benefits, and role details.

## Other roles at EvolutionIQ

- [Staff Data Scientist (Insurance Tech)](https://feeny.ai/job/staff-data-scientist-insurance-tech-evolutioniq-new-york-2z5pvyje4k3b) — New York, NY
- [Senior Business Analyst](https://feeny.ai/job/senior-business-analyst-evolutioniq-new-york-hz91yxzaj2zk) — New York, NY
- [Business Optimization Consultant](https://feeny.ai/job/business-optimization-consultant-evolutioniq-new-york-ta6q0gqykyk0) — New York, NY
- [Deployment Manager (Client Services)](https://feeny.ai/job/deployment-manager-client-services-evolutioniq-new-york-2cp1t3wka3c4) — New York, NY
- [Senior Software Engineer (Python / AI Insurance SaaS)](https://feeny.ai/job/senior-software-engineer-python-ai-insurance-saas-evolutioniq-new-york-xzj9mgatfxtj) — New York, NY
- [Senior Machine Learning (ML) Engineer (AI Insurtech)](https://feeny.ai/job/senior-machine-learning-ml-engineer-ai-insurtech-evolutioniq-new-york-ravjk0r2zva4) — New York, NY
- [Senior Product Manager (Short Term Disability Product)](https://feeny.ai/job/senior-product-manager-short-term-disability-product-evolutioniq-new-york-4c2m9yvw1bhf) — New York, NY
- [Staff or Sr. Staff Software Engineer (AI Insurance Tech)](https://feeny.ai/job/staff-or-sr-staff-software-engineer-ai-insurance-tech-evolutioniq-new-york-yr6dpfs9vk4p) — New York, NY
- [Senior Software Engineer (Insurance Tech)](https://feeny.ai/job/senior-software-engineer-insurance-tech-evolutioniq-new-york-fp9dk8w518sc) — New York, NY
- [Staff Software Engineer (Insurance Tech)](https://feeny.ai/job/staff-software-engineer-insurance-tech-evolutioniq-new-york-6xf3d45tv72n) — New York, NY