Software Engineer (AI Data Engineering)

EvolutionIQ•New York, NY

1d•$170,000 - $185,000

About The Position

EvolutionIQ, part of CCC Intelligent Solutions, builds technology to help insurance claims teams handle claims more accurately, fairly, and efficiently. The Software Engineer will help design and deliver systems for the company’s growing portfolio of AI solutions, using agentic workflows and modern AI coding tools to accelerate engineering while maintaining strong architecture, code quality, security, and debugging practices. The role owns the design, development, and launch of enterprise-grade applications and data pipelines serving hundreds of users. It involves moving between rapid prototyping and stable production systems, translating pipeline outputs into useful information with product, client services, and data science teams, and supporting fast, secure, consistent deployments.

Requirements

At least 2 years of engineering experience covering the full feature development lifecycle.
Experience working with product managers to determine scope and design data models and pipeline architectures.
Fluency with agentic coding tools such as Cursor AI and/or Claude.
Experience designing, building, and launching backend architectures for multi-tenant, multi-user scenarios, including pipeline performance and data-quality checks.
Ability to move between rapid prototyping and stable production development.
Ability to ask questions that clarify a client’s business problem and demonstrate the business impact of technical solutions using data.
Crisp written and verbal communication skills, including the ability to communicate with technical and non-technical audiences.
Strong collaboration skills and openness to giving and receiving critical feedback across teams.
An interest in analytics and enabling data-driven decision-making.

Nice To Haves

Python development.
SQL development.

Responsibilities

Use agentic coding tools, such as Cursor and multi-agent environments, to accelerate feature prototyping, code generation, and test coverage.
Define specifications and repository-context guardrails, and review AI-assisted output for security risks, scalability bottlenecks, and architectural alignment.
Design, build, and maintain data pipelines and application layers serving hundreds of users.
Partner with product, client services, and data science teams to turn raw pipeline outputs into meaningful information.
Own the design, development, and launch of enterprise-grade applications, from rapid prototypes through production-ready systems.
Design data models and pipeline architectures in collaboration with product managers.
Write technical design documents, conduct code reviews, and maintain strong engineering practices.
Use data and analytics to demonstrate the business impact of technical solutions and enable data-driven decision-making.

Benefits

Base salary range of $170,000–$185,000, with flexibility based on background and experience.
Annual bonus plan.
Company equity plan (RSUs).
Medical, dental, and vision insurance.
Short- and long-term disability insurance.
Life insurance and AD&D coverage.
401(k) matching.
Additional family, wellness, and pet benefits.
Paid time off and sick leave.
Paid parental leave: 16 weeks for primary caregivers and 12 weeks for secondary caregivers.
Flexible schedule for new parents returning to work.
Catered lunches and happy hours.
Pet-friendly spaces.
Monthly technology stipend.
$1,000 per year per employee for professional development.
Tuition reimbursement.