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Software Engineer II (AI)

85 000 - 130 000$
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer II (AI): Building full-stack features for a genomics AI platform connecting real-world evidence to clinical insights with an accent on distributed architectures, relational data systems, and AI-assisted development. Focus on designing microservices and APIs, optimizing database and caching performance, integrating generative AI agents, and mentoring engineers.

Location: Chicago, United States

Salary: $85,000–$130,000 per year

Company

hirify.global develops a precision medicine platform that uses real-world evidence and AI to support cancer research, treatment decisions, and clinical care.

What you will do

  • Own the end-to-end design, implementation, and delivery of core product features.
  • Integrate generative AI tools and autonomous coding agents into development, testing, refactoring, and prototyping workflows.
  • Write clean, resilient, performant code using enterprise design patterns.
  • Contribute to microservice and database architecture, including scalability, caching, and distributed performance.
  • Identify dependencies and roadblocks while coordinating with product managers and engineering teams.
  • Mentor junior engineers through code reviews, pair programming, and coaching.

Requirements

  • 3+ years of professional software development experience in an agile environment.
  • Strong proficiency in TypeScript, JavaScript, Node, and modern frontend frameworks such as React.
  • Hands-on experience with generative AI coding tools and agents, including Copilot, Cursor, or LLM APIs.
  • Experience with relational databases such as PostgreSQL or MySQL, query optimization, and Redis caching.
  • Experience designing RESTful or GraphQL APIs and working with distributed or microservice architectures.
  • Hands-on experience with GCP or AWS and CI/CD pipelines.

Nice to have

  • Experience integrating GenAI or LLM APIs into user-facing applications.
  • Experience with Elasticsearch or OpenSearch.
  • Experience with Docker and Kubernetes.
  • Background in biotech, genomics, or precision medicine.

Culture & Benefits

  • Work in small, autonomous teams with developers, designers, scientists, and product managers.
  • Participate in setting goals, building software, deploying code, and evolving a platform for cancer research and treatment.
  • Benefits may include incentive compensation, restricted stock units, medical benefits, and other position-dependent benefits.

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