Lead AI Cloud Engineer – Generative AI

Quantum Technologies. LLC

Chicago (IL)

On-site

USD 81,000 - 115,000

Full time

Just now
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Job summary

Quantum Technologies. LLC seeks a hands-on Lead Software Engineer in Chicago to design, develop, and scale cloud-native solutions. You will lead architecture, APIs, testing, and deployment while driving adoption of Generative AI, LLMs, and data-driven capabilities.

Responsibilities include mentoring engineers, setting engineering standards, and collaborating with product, cybersecurity, and infra teams to ensure production readiness and secure, scalable delivery.

Qualifications

  • 8+ years of progressive software engineering experience across APIs and distributed systems.
  • Experience leading technical delivery through full SDLC, architecture to deployment.
  • Strong knowledge of API integration, CI/CD, DevOps, and production support.
  • Working knowledge of cloud platforms and containerization.

Responsibilities

  • Lead architecture, design, and deployment of scalable cloud-native applications.
  • Evaluate emerging tech including Generative AI, LLMs, and data-driven apps.
  • Translate requirements into technical designs, roadmaps, and plans.
  • Develop secure, scalable applications with microservices and APIs.
  • Mentor engineers, set standards, and conduct design reviews.
  • Collaborate with product, cybersecurity, data, and infra teams.
  • Define proof-of-concept criteria, tests, and production readiness.

Skills

Architectural design
SDLC leadership
API integration
CI/CD & DevOps
Distributed systems
Cloud platforms knowledge
Analytical & communication

Tools

Kubernetes
Terraform
CloudFormation
CI/CD tooling
APIs

Job description

Quantum Technologies. LLC seeks a hands-on Lead Software Engineer in Chicago to design, develop, and scale cloud-native solutions. You will lead architecture, APIs, testing, and deployment while driving adoption of Generative AI, LLMs, and data-driven capabilities.

Responsibilities include mentoring engineers, setting engineering standards, and collaborating with product, cybersecurity, and infra teams to ensure production readiness and secure, scalable delivery.

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