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 focuses on generative AI, retrieval-augmented generation (RAG), and multi-agent architectures, contributing to the advancement of AI technologies in various sectors, including healthcare and finance. The successful candidate will collaborate with a talented team to create transformative technology that enhances business operations and user experiences.
Technical Requirements
- • Python
- • Django
- • Kafka
- • PostgreSQL
- • Machine Learning
- • MLOps
- • Graph-based RAG systems
- • Cloud platforms (AWS)
- • Containerization (Docker, Kubernetes)
- • Deep Learning frameworks (PyTorch, TensorFlow)
8+ years of backend engineering experience, 4+ years in machine learning systems
Responsibilities
- • Lead the design and implementation of production-ready RAG systems
- • Architect multi-agent AI systems
- • Drive product strategy and provide technical roadmaps
- • Design sophisticated vector search solutions
- • Optimize LLM performance and reliability
- • Establish MLOps best practices
- • Mentor junior engineers
- • Collaborate with cross-functional teams
Technical Environment
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; New York, New York
- Type
- Full Time
- Compensation
- $250,000-$350,000 base salary, 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.