Kizen is looking to solve the problem of revolutionizing industries like healthcare, finance, and HR by enabling businesses to build AI assistants and enterprise applications quickly and efficiently. They aim to make every company an AI-company and every worker an AI-Enhanced Worker by optimizing processes with data-driven insights and automation.
Requirements
- Expert-level Python development skills with Django experience
- Deep understanding of distributed systems and message queuing using message broker systems (e.g., Kafka)
- Advanced PostgreSQL knowledge, including optimization for AI workloads
- Experience building and optimizing retrieval-augmented generation (RAG) systems
- Experience architecting and implementing multi-agent AI systems
- Knowledge of deep learning frameworks (PyTorch or TensorFlow) and NLP, particularly transformer architectures
- Proven experience designing and implementing scalable LLM-powered systems in production environments
Responsibilities
- Lead the design and implementation of production-ready RAG systems that integrate seamlessly with our backend infrastructure using Django, Kafka, PostgreSQL, and Clickhouse
- Architect multi-agent AI systems that operate effectively within our platform's constraints and understand business value implications.
- Drive product strategy by providing accurate work estimations and technical roadmaps with minimal supervision.
- Design and implement sophisticated vector search solutions, including graph-based RAG systems
- Architect and build highly scalable LLM-powered systems that can handle enterprise-level workloads
- Lead LLM fine-tuning initiatives to customize models for specific business domains and use cases
- Optimize LLM performance, cost, and reliability in production environments
Other
- Hybrid (Minimum 4 days in office)
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
- Strong experience in product management, including work estimation and roadmap planning
- Experience building solutions at scale with large enterprise data in healthcare, finance, or banking sectors.
- Strong mentoring capabilities to guide and develop team members
- Ability to work in our Los Angeles or Austin office
- Excellent collaboration skills when working with cross-functional teams
- Excellent written and verbal communication skills in English
- Driven, self-motivated, adaptable, empathetic, energetic, and detail-oriented
