Senior AI Engineer
Role overview
- check_circle Build AI Agent Tooling: Design and develop extensive tools that enable sophisticated AI agent capabilities across our platform.
- check_circle Work on Multi-Agent Systems: Contribute to our next-generation multi-agent framework, implementing robust orchestration and coordination patterns.
- check_circle Own End-to-End Delivery: Take full ownership of features from design through deployment, with a strong focus on quality, speed, and reliability.
Responsibilities
- check_circle Build and maintain extensive tooling for AI agents, including tool-calling interfaces, agent orchestration, and integration layers.
- check_circle Work hands-on with our multi-agent framework, implementing coordination strategies and communication protocols between agents.
- check_circle Design, test, and iterate on prompts to optimize agent behavior and reliability.
- check_circle Implement evaluation frameworks to measure and improve prompt performance.
- check_circle Architect scalable systems based on clear product requirements, aligning with current architecture while proposing improvements over time.
- check_circle Design event-driven systems with a focus on reliability, speed, and maintainability.
- check_circle Take strong ownership of features with a product-minded approach, ensuring excellent user experience.
- check_circle Implement comprehensive testing strategies including unit tests, integration tests, and end-to-end tests.
- check_circle Maintain high standards for code quality, documentation, and deliverability.
- check_circle Build internal tools and utilities that improve the team's development workflow and productivity.
- check_circle Contribute to CI/CD pipelines and deployment automation.
Basic qualifications
- Bachelor's degree required; Master's degree in Computer Science preferred
- 5-6+ years of experience building scalable applications in Python
- 4+ years of hands-on Python experience with deep fluency in the language
- 2+ years of experience with orchestration systems, preferably Kafka
- Strong experience with Django and FastAPI for building production APIs
- Deep expertise in PostgreSQL and database optimization (query optimization, indexing, schema design)
- Solid experience with event-driven architectures and streaming data processing
- Proficiency with Docker and Kubernetes for containerization and orchestration
- Strong experience with AWS cloud services
- Deep understanding of Git workflows and version control best practices
- Experience with CI/CD pipelines and deployment automation
- Strong knowledge of asynchronous programming, threading, and concurrency patterns in Python
- Experience with pytest and end-to-end integration testing
- Familiarity with modern AI development tools (e.g., Claude Code, Cursor, or similar)
- Recent experience with agent tool-calling patterns and awareness of current AI industry innovations
- Ability to build developer tools that improve team productivity
Preferred qualifications
- Experience at AI startups or high-growth technology companies
- Healthcare industry experience is a plus
- Experience with LLM APIs and prompt engineering
- Familiarity with observability and monitoring tools (Langfuse (or LangSmith) LiteLLM, etc.)
- Contributions to open-source projects
Benefits
- check_circle Career Growth Opportunities
- check_circle Engaging Work Culture
- check_circle Top-Tier Compensation
- check_circle Equity Package
- check_circle Healthcare Coverage
- check_circle Health and Fitness Stipend
- check_circle Professional Development Stipends
- check_circle PTO
About the company
At Kizen, we build technology that makes AI actually work for people.
Our platform helps organizations automate the workflows that matter most — from helping insurance agents manage contracting and commissions, to enabling healthcare providers to deliver proactive patient care, to empowering financial institutions to classify documents and extract data automatically.
And that's just the beginning. With Kizen, developers can build new enterprise applications, while business users can customize dashboards and agents using AI, low-code, or code — all on the same platform. The possibilities are limited only by imagination.
What used to take months or years to build, configure, and connect now takes just days. Kizen combines powerful pre-built agents and use cases with an enterprise platform for automation and data connection — all built on an AI-first architecture that's easy to adopt, scale, and trust.
We're not chasing hype. We're solving real operational problems and helping the world's most complex organizations work faster, smarter, and more humanely.
Join us in transforming how industries work — one workflow, one agent, and one customer success story at a time.