Senior Software Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 11-50

Location

United States

Posted

10 days ago

Salary

Not specified

PythonAWSDistributed SystemsGen AIKubernetesDockerAPICloud InfrastructureDev OpsSecurity

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

Kamiwaza is seeking a Senior Software Engineer (MTS) to architect and build core platform components that enable seamless GenAI deployment for enterprise customers.

  • Design and develop foundational systems across GenAI serving infrastructure, model management, distributed systems, cluster orchestration, data pipelines, APIs, and service front ends.
  • Play a critical role in delivering a secure, scalable, and exceptional developer experience while bringing cutting-edge GenAI capabilities into production.
  • Ideal for an engineer who thrives on building complex systems, thinking in architectures, and turning emerging GenAI techniques into reliable enterprise-grade infrastructure.

Qualifications

  • 5+ years of professional software engineering experience building and scaling complex platforms or distributed systems
  • Strong proficiency in Python, including designing, developing, and debugging production-grade services
  • Working familiarity with AI/ML concepts and a strong interest in staying current with GenAI advancements
  • Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps practices, and security fundamentals
  • Demonstrated ability to decompose complex technical challenges into scalable, maintainable solutions
  • Excellent collaboration and communication skills with a strong sense of ownership and accountability

Requirements

  • BS or MS in Computer Science, Software Engineering, or a related field
  • Open source contributions related to GenAI, distributed systems, or data orchestration
  • Experience with cloud networking (DNS, VPC configuration, infrastructure security)
  • Strong quantitative background (math, physics, ML, or related fields)
  • Experience using GenAI tools to augment development workflows
  • Familiarity with enterprise software development lifecycles from architecture through post-deployment support

Benefits

  • Be a key contributor to the GenAI revolution, shaping how enterprises adopt next-generation technology.
  • Remote-First Culture: Based in Colorado, but work from anywhere with the tools and support you need.
  • Expert Founders with Successful Exits: Our leadership team brings experience and a relentless enthusiasm for GenAI innovation.
  • High-Autonomy Environment: Flat organizational structure, transparent communication, and minimal red tape.
  • Competitive Compensation & Equity: Own a piece of our high-potential, well-funded startup.
  • Comprehensive Benefits: We offer low-deductible medical plans, dental and vision coverage, disability and life insurance, 401(k) with 4% match, flexible spending accounts, health savings accounts, paid time off, and remote work support.

How to Apply

Ready to build the foundation of the GenAI revolution? Please send your resume to letsbuild@kamiwaza.ai . Include GitHub (or equivalent) code samples, a system design you’re proud of, and any evaluation or benchmark work that demonstrates your technical rigor.

P.S. If you use GenAI to craft your application, we’ll probably find out — and we’d love to learn more about how you did it!

Compensation

This role offers a base salary between $150,000 and $250,000, plus equity and benefits. Actual compensation will reflect an individual’s experience, impact, and location.

Job Requirements

  • 5+ years of professional software engineering experience building and scaling complex platforms or distributed systems
  • Strong proficiency in Python, including designing, developing, and debugging production-grade services
  • Working familiarity with AI/ML concepts and a strong interest in staying current with GenAI advancements
  • Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps practices, and security fundamentals
  • Demonstrated ability to decompose complex technical challenges into scalable, maintainable solutions
  • Excellent collaboration and communication skills with a strong sense of ownership and accountability
  • BS or MS in Computer Science, Software Engineering, or a related field
  • Open source contributions related to GenAI, distributed systems, or data orchestration
  • Experience with cloud networking (DNS, VPC configuration, infrastructure security)
  • Strong quantitative background (math, physics, ML, or related fields)
  • Experience using GenAI tools to augment development workflows
  • Familiarity with enterprise software development lifecycles from architecture through post-deployment support

Benefits

  • Be a key contributor to the GenAI revolution, shaping how enterprises adopt next-generation technology.
  • Remote-First Culture: Based in Colorado, but work from anywhere with the tools and support you need.
  • Expert Founders with Successful Exits: Our leadership team brings experience and a relentless enthusiasm for GenAI innovation.
  • High-Autonomy Environment: Flat organizational structure, transparent communication, and minimal red tape.
  • Competitive Compensation & Equity: Own a piece of our high-potential, well-funded startup.
  • Comprehensive Benefits: We offer low-deductible medical plans, dental and vision coverage, disability and life insurance, 401(k) with 4% match, flexible spending accounts, health savings accounts, paid time off, and remote work support.
  • How to Apply
  • Ready to build the foundation of the GenAI revolution? Please send your resume to letsbuild@kamiwaza.ai . Include GitHub (or equivalent) code samples, a system design you’re proud of, and any evaluation or benchmark work that demonstrates your technical rigor.
  • P.S. If you use GenAI to craft your application, we’ll probably find out — and we’d love to learn more about how you did it!
  • Compensation
  • This role offers a base salary between $150,000 and $250,000, plus equity and benefits. Actual compensation will reflect an individual’s experience, impact, and location.

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