Senior AI Developer building production AI systems and agentic workflows for Workleap's workplace software. Connecting foundation models to governed data, tools, and applications.
Responsibilities
Design, build, and operate AI systems and agentic workflows connecting foundation models to data, tools, and applications
Ship production AI systems and agentic workflows delivering measurable value in products and internal operations
Own production quality, including observability, testing, security, and cost
Turn evaluation evidence from Data Scientists into engineering improvements
Engineer context integrations enabling agents to use governed data and application capabilities accurately
Define reusable patterns and components for future teams
Drive architecture decisions across quality, risk, and cost, making trade-offs explicit
Collaborate with Data Engineers, Data Scientists, Software Engineers, Product teams, and Platform and Security specialists
Set technical direction for production AI engineering
Requirements
Strong production engineering in Python and SQL, with testing, CI/CD, and experience operating cloud systems
Hands-on experience building and operating AI applications with foundation models, agents, tools, and context
Experience instrumenting and evaluating non-deterministic systems: observability, evals, regression testing
Sound architectural judgment across reliability, security, and cost, and the confidence to form and defend a technical opinion
Experience building components or tooling that other developers adopt
Working knowledge of Snowflake and its AI capabilities (Cortex), or the ability to ramp up on them quickly
A builder mindset: you own what you ship, experiment quickly, and use AI-assisted development tools daily and critically
Bonus: AI services on Azure, AWS, or GCP, or developer platforms that accelerate AI adoption across teams
Benefits
Annual bonus program
LTIP program, share in Workleap's long-term growth
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