MTS - Software Engineer

Posted 3 Days Ago
Hiring Remotely in Colorado, USA
Remote or Hybrid
100K-200K Annually
Mid level
Software
The Role
Architect and build foundational GenAI platform components, including model-serving infrastructure, distributed systems, cluster orchestration, data pipelines, APIs, embeddings, retrieval systems, and evaluation workflows. Improve deployment pipelines, observability, security, scalability, and developer experience while bringing emerging GenAI techniques into reliable enterprise production environments.
Summary Generated by Built In
MTS – Software Engineer

This role is based in Colorado. Remote candidates may be considered if they currently reside in the United States and can collaborate within U.S. business hours.

Role Overview

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

In this role, you will design and develop foundational systems across GenAI serving infrastructure, model management, distributed systems, cluster orchestration, data pipelines, APIs, and service front ends. You will play a critical role in delivering a secure, scalable, and exceptional developer experience while bringing cutting-edge GenAI capabilities into production.

This role is ideal for an engineer who thrives on building complex systems, thinking in architectures, and turning emerging GenAI techniques into reliable enterprise-grade infrastructure.

Key Responsibilities
  • Architect and develop high-performance, reliable systems for GenAI model serving, data orchestration, and distributed computing

  • Build and scale infrastructure for embeddings, retrieval systems, data catalogs, and evaluation workflows

  • Design and maintain secure, scalable APIs with a strong emphasis on developer experience

  • Enhance deployment pipelines, observability tooling, and operational best practices to ensure platform resilience

  • Collaborate cross-functionally to evaluate emerging GenAI research, benchmarks, and techniques — bringing the most impactful innovations into production

  • Contribute to platform-level decisions around cluster management, orchestration, and service reliability

Minimum Requirements
  • 3+ 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

Preferred Qualifications
  • 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

Why Join Us?

Purpose & Impact: 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.

Who We Are

We're a small, driven team building a platform that makes GenAI deployment feel like magic.

Our approach: curious, humble, but relentless.
We're fun, kind, and exceptional—serious about making an impact but never taking ourselves too seriously.
We operate with high urgency but think for the long term—action creates clarity.

How to Apply

Ready to build the foundation of the GenAI revolution? 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 $100,000 and $200,000, plus equity and benefits. Actual compensation will reflect an individual’s experience, impact, and location.

Skills Required

  • 3+ years of professional software engineering experience building and scaling complex platforms or distributed systems
  • Strong proficiency in Python for production-grade services
  • Working familiarity with AI/ML concepts and interest in GenAI advancements
  • Experience with cloud infrastructure using AWS, GCP, or Azure
  • Experience with DevOps practices and security fundamentals
  • Ability to decompose complex technical challenges into scalable, maintainable solutions
  • Excellent collaboration and communication skills with 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, including DNS, VPC configuration, and infrastructure security
  • Strong quantitative background in math, physics, ML, or a related field
  • Experience using GenAI tools to augment development workflows
  • Familiarity with enterprise software development lifecycles from architecture through post-deployment support
Am I A Good Fit?
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The Company
SILVERTHORNE,CO, , CO ,
5 Employees
Year Founded: 2023

What We Do

At Kamiwaza.ai, we're not just part of the AI revolution; we're leading it. Our mission is to empower enterprises for the 5th industrial revolution, aiming to achieve the unprecedented scale of 1 trillion inferences per day. In a world where data is the new currency, and efficiency is the king, we stand at the forefront, redefining the boundaries of what AI can accomplish in the enterprise sector. Our Vision Kamiwaza.ai envisions a future where AI seamlessly integrates into every facet of enterprise operations, driving innovation, efficiency, and growth. We believe that the 5th industrial revolution will be characterized by the intelligent interplay of humans and machines, where AI not only augments human capabilities but also drives autonomous decision-making processes in real-time. Our Technology Our core offering is a uniquely designed Gen AI stack with two key differentiators in our Inference Mesh and locality aware Distributed Data Engine, meticulously crafted to be loosely coupled yet heavily opinionated. This architectural choice reflects our commitment to flexibility and adaptability, allowing businesses to implement AI solutions that are tailor-made for their specific needs while adhering to the highest standards of efficiency and effectiveness. Privacy and Security at the Core Understanding the paramount importance of data privacy and security, our Gen AI stack is built to run models privately with private data. We ensure that enterprises can leverage the full power of AI without compromising on data security or privacy. Our systems are designed to work within the confines of stringent security protocols, ensuring that sensitive information remains protected at all times. Our Goal: 1 Trillion Inferences Per Day Reaching 1 trillion inferences per day is not just a goal; it's a testament to our capability and commitment to scale. This target underscores our dedication to providing AI solutions that are not just powerful but also scalable.

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