Software Engineer

• 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

• 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, 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.

Candidates must be authorized to work in the United States without current or future sponsorship requirements.

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., 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.

Kamiwaza is seeking a Senior 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., 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.