Staff Software Engineer — AI-Native Claims Platform

EvolutionIQ

United States

À distance

USD 245 000 - 270 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Annual bonus
RSUs
Health insurance
401k matching
Parental leave
Flexible schedule
Visa sponsorship

Résumé du poste

EvolutionIQ, a CCC Intelligent Solutions company, is seeking a hands-on Staff Engineer in the United States. You will architect systems, set engineering best practices, and write production code that powers AI-enabled claims tools.

Responsibilities include evaluating legacy platforms, deciding what to rebuild or replace, building scalable backends, and aligning technical work with business impact. Requires 8+ years, Python, TS/JS, and strong architectural experience.

Qualifications

  • 8+ years of engineering experience with end-to-end ownership
  • Strong hands-on coding in Python, and frontend in TypeScript/JavaScript
  • Deep architectural experience with legacy and multi-tenant backends
  • Experience with AI-assisted engineering tools and practical impact on delivery

Responsabilités

  • Architect systems and write production code for AI-native products
  • Assessment and modernisation of legacy platforms, deciding what to rebuild or replace
  • Build scalable backends and prototypes, with AI tools at the core
  • Set engineering standards in collaboration with Product, Data Science and Data Engineering

Connaissances

End-to-end ownership
Python
TypeScript/JavaScript
Software architecture
AI-enabled tooling
Cross-team collaboration

Outils

SQL / Relational DB
C# / .NET (Nice-to-have)

Description du poste

EvolutionIQ, a CCC Intelligent Solutions company, is seeking a hands-on Staff Engineer in the United States. You will architect systems, set engineering best practices, and write production code that powers AI-enabled claims tools.

Responsibilities include evaluating legacy platforms, deciding what to rebuild or replace, building scalable backends, and aligning technical work with business impact. Requires 8+ years, Python, TS/JS, and strong architectural experience.

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