Назад
Company hidden
5 дней назад

Senior Software Engineer (AI)

147 000 - 171 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer (AI): Building scalable, secure, high-performance APIs and backend services for medical risk assessment using complex health data, artificial intelligence, and electronic health records with an accent on real-time decisioning, backend scalability, and sensitive data processing. Focus on designing API architecture, optimizing performance for structured and unstructured data, integrating evolving machine learning and large language models, and implementing comprehensive automated testing.

Location: Toronto, Canada; hybrid schedule required from the Toronto office

Base salary: CAD 147,000–171,000 per year, plus an opportunity for an annual company bonus.

Company

hirify.global is a global reinsurance company with more than 40,000 employees in over 50 locations, developing technology and data solutions for the life insurance industry.

What you will do

  • Shape API architecture for real-time decisioning using complex medical data.
  • Build scalable, secure, and high-performance APIs and services for medical risk assessment.
  • Collaborate with data scientists, underwriters, customer success partners, and product managers on the product roadmap.
  • Optimize backend performance and scalability for large volumes of structured and unstructured health data.
  • Adapt the product as machine learning models and large language models evolve.
  • Write maintainable software, unit and integration tests, automated tests, and participate in code reviews.

Requirements

  • Degree or equivalent background in Engineering, Mathematics, Computer Science, Data Science, Physics, or a related discipline.
  • Professional experience developing backend software with Python.
  • Strong understanding of software development lifecycle best practices.
  • Experience with API design tools and frameworks such as Swagger, OpenAPI, and FastAPI.
  • Experience with cloud computing and Kubernetes or similar orchestration tools, as well as Docker or similar containerization tools.
  • Experience with relational databases such as PostgreSQL or MySQL and ORM libraries such as SQLAlchemy.
  • Experience with load testing, latency profiling, and backend performance optimization.

Nice to have

  • Experience with infrastructure-as-code tools such as Terraform.
  • Experience working with new and complex data sources.
  • Interest in applying emerging technologies, including large language models, in production environments.
  • Ability to collaborate across engineering, data science, underwriting, product, and customer success teams.

Culture & Benefits

  • Hybrid work environment combining weekly in-office and remote days.
  • Collaborative environment focused on continuous learning, development, diversity, inclusion, and belonging.
  • Company-paid flexible health and dental benefits, Health Spending Account and Wellness Spending Account support.
  • DC Pension Plan with automatic employer contributions and optional company matching.
  • Vacation, personal days, unplanned time, statutory holidays, early-closure half-days, and parental leave top-up.
  • LinkedIn Learning, education assistance, professional-fee reimbursement, employee referral, recognition, and rewards programs.

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