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Principal AI Engineer

Kizen

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Job Description

Job Overview

Kizen is seeking a Principal AI Engineer to lead the design and implementation of innovative AI systems that integrate seamlessly with backend infrastructure. This role offers the opportunity to work with cutting-edge technologies to revolutionize various industries, including healthcare and finance, by creating intelligent systems that drive efficiency and effectiveness.

Technical Requirements

Required Skills
  • • Expert-level Python development skills
  • • Django experience
  • • Deep understanding of distributed systems
  • • Message queuing using Kafka
  • • Advanced PostgreSQL knowledge
Preferred Skills
  • • Experience with graph-based RAG systems
  • • Contributions to open-source projects in backend or AI domains
  • • Experience with streaming data processing at scale
Experience Level

8+ years of backend engineering experience with a strong background in AI development and machine learning systems

Responsibilities

  • • Lead the design and implementation of production-ready RAG systems that integrate with backend infrastructure
  • • Architect multi-agent AI systems that operate effectively within platform constraints
  • • Drive product strategy by providing work estimations and technical roadmaps
  • • Design and implement vector search solutions
  • • Optimize LLM performance and reliability in production environments
  • • Establish MLOps best practices for model monitoring and evaluation
  • • Mentor junior engineers in AI/ML best practices

Technical Environment

Languages
Frameworks

Benefits & Perks

  • • Hybrid Work Model
  • • Career Growth Opportunities
  • • Engaging Work Culture
  • • Top-Tier Compensation
  • • Equity Package
  • • Healthcare Coverage
  • • Professional Development Stipends
  • • PTO

Additional Information

Location
Austin, Texas, United States
Type
Full Time
Compensation
$250,000 - $350,000 base salary range, OTE $312,000 - $412,000

About Kizen

Kizen empowers your people and AI to work together seamlessly, enabling them to build, train, and scale AI agents and enterprise applications in under 30 days.

Company Size
unknown
Categories
AI App & Software Development Artificial Intelligence & Machine Learning Automation Biotech, Pharmaceuticals & Healthcare Business Productivity & Collaboration Enterprise Applications Semiconductor & Hardware Software & SaaS